{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\MvdWardt\Desktop\Replication adapt or perish\manuscript other tables and figures.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 1 Mar 2019, 13:21:23
{txt}
{com}. 
. set more off
{txt}
{com}. 
. use "C:\Users\MvdWardt\Desktop\Replication adapt or perish\replication data.dta", clear
{txt}
{com}. 
. gen yline=0
{txt}
{com}. 
. ***Description of variables used for analyses presented in manuscript
. label var country "Country name"
{txt}
{com}. label var ccode "Country code"
{txt}
{com}. label var elec_year "Election year (Parlgov.org)"
{txt}
{com}. label var elec_month "Election month (Parlgov.org)"
{txt}
{com}. label var party_id "Party identifier (Parlgov.org)"
{txt}
{com}. label var party_name_english "Party name (Parlgov.org)"
{txt}
{com}. label var index "Election counter"
{txt}
{com}. label var pss "Party system saturation t (Based on residuals of Model 2, Table 2 of van de Wardt(2017)"
{txt}note: label truncated to 80 characters

{com}. label var nicheness "Nicheness of party program t (Formula after Meyer and Wagner (2013) but based on issue classification scheme of Stoll (2011), https://homepage.univie.ac.at/markus.wagner/Meyer_Wagner_CPS_suppmat.pdf"
{txt}note: label truncated to 80 characters

{com}. label var niche_party_previous "Niche party program at t-1 (Formula after Meyer and Wagner (2013) but based on issue classification scheme of Stoll (2011), https://homepage.univie.ac.at/markus.wagner/Meyer_Wagner_CPS_suppmat.pdf"
{txt}note: label truncated to 80 characters

{com}. label var niche_party "Niche party program at t (Formula after Meyer and Wagner (2013) but based on issue classification scheme of Stoll (2011), https://homepage.univie.ac.at/markus.wagner/Meyer_Wagner_CPS_suppmat.pdf"
{txt}note: label truncated to 80 characters

{com}. label var vote_loss "Vote loss between t-1 and t-2 (data from Parlgov.org)"
{txt}
{com}. label var vote_share "Vote share obtained in election t (Parlgov.org)"
{txt}
{com}. label var party_age "Party age (based on party founding data from Parlgov.org)"
{txt}
{com}. label var opposition "Opposition/government status resulting from election t (Parlgov.org)"
{txt}
{com}. label var lopposition "Opposition/government status resulting from  election t-1 (based on data from Parlgov.org)"
{txt}note: label truncated to 80 characters

{com}. label var leaderdom "Dominance of party leadership (Giger and Schumacher 2015)" 
{txt}
{com}. label var inalliance "In alliance t (Parlgov.org)"
{txt}
{com}. label var linalliance "In alliance t-1 (based on data from Parlgov.org)"
{txt}
{com}. label var advantager "Advantage ratio resulting from election t (based on data from Parlgov.org)"
{txt}
{com}. label var lr_extremity  "Extremity of left-right position t (based on Rile score of Comparative Manifesto Project"
{txt}note: label truncated to 80 characters

{com}. label var norepres "No parliamentary representation gained in election t-1 (based on data from Parlgov.org plus additional data collected by author)"
{txt}note: label truncated to 80 characters

{com}. label var norepres2 "No parliamentary representation gained in election t (based on data from Parlgov.org plus additional data collected by author)"
{txt}note: label truncated to 80 characters

{com}. label var office_exp "Experience in government including result of election t (based on data from Parlgov.org)"
{txt}note: label truncated to 80 characters

{com}. label var alliance_exp "Alliance experience including result of election t (based on data from Parlgov.org)"
{txt}note: label truncated to 80 characters

{com}. label var totparlparties "Total number of parliamentary parties resulting from election t (based on data from Parlgov.org)"
{txt}note: label truncated to 80 characters

{com}. label var merger "Party merges after election t (based on data from Parlgov.org plus additional data collected by own research assistant)"
{txt}note: label truncated to 80 characters

{com}. label var reg_cost "Registration costs t (Tavits 2006)"
{txt}
{com}. label var party_fin "Party financing t (Tavits 2006)"
{txt}
{com}. label var ln_petit "Petition (logged) t (Tavits 2006)"
{txt}
{com}. label var decade "Decade of election"
{txt}
{com}. label var elec_year_parl2 "Last election observed in the dataset by country"
{txt}
{com}. 
. ***Description of additional variables used for analyses presented in supplementary appendix
. label var pss_mod3 "Party system saturation t (Based on residuals from Model 3, Table 2 of van de Wardt(2017)"
{txt}note: label truncated to 80 characters

{com}. label var pss_cg "Party system saturation t (based on residuals from Table 2, Model established democracies of Clark and Golder (2006)"
{txt}note: label truncated to 80 characters

{com}. label var cdiv "Cultural fractionalization t (Fearon 2003)"
{txt}
{com}. label var LogMedian "Logged Median District Magnitude t (Carey and Hix 2011 with own additions for recent elections)"
{txt}note: label truncated to 80 characters

{com}. label var nicheness_bischof "Nicheness of party program t (Bischof 2017)"
{txt}
{com}. label var nicheness_meymil "Nicheness of party program t (Formula after Meyer & Miller (2013) but based on issue classification scheme of Stoll (2011))"
{txt}note: label truncated to 80 characters

{com}. label var niche_party_previous_meymill "Niche party program at t-1 (1 if party was one sd above the mean score of its competitors on nicheness_meymil at t-1)"
{txt}note: label truncated to 80 characters

{com}. label var niche_party_previous_bischof "Niche party program at t-1 (1 if party was one sd above the mean score of its competitors on nicheness_bischof at t-1)"
{txt}note: label truncated to 80 characters

{com}. label var nicheness_previous "Nicheness compared to competitors' programs at t-1"
{txt}
{com}. label var morecohesiveshiftdummy "Shift towards clearer platform (Lo et al 2016)"
{txt}
{com}. label var niche_party_meguid "Niche party t (based on party family data from Parlgov.org)"
{txt}
{com}. label var enep "Effective number of electoral parties t (Bormann and Golder 2013, Version 2.0)"
{txt}
{com}. 
. 
. tsset party_id index
{res}{txt}{col 8}panel variable:  {res}party_id (unbalanced)
{txt}{col 9}time variable:  {res}{col 25}index, 1 to 27
{txt}{col 17}delta:  {res}1 unit
{txt}
{com}. 
. ***Replicate Table 1 & Figure 3 (Nicheness hypothesis)
. 
. xtmixed nicheness c.l.pss##i.niche_party_previous vote_loss l.vote_share party_age lopposition i.decade || party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4439.6462}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-4439.6462}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}     1,620
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}       200

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       8.1
{txt}{col 63}max{col 67}={col 69}{res}        25

{col 49}{txt}Wald chi2({res}12{txt}){col 67}={col 70}{res}    40.57
{txt}Log likelihood = {res}-4439.6462{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0001

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                  nicheness{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 24}pss {c |}
{space 24}L1. {c |}{col 29}{res}{space 2}-.1887383{col 41}{space 2} .1158876{col 52}{space 1}   -1.63{col 61}{space 3}0.103{col 69}{space 4}-.4158738{col 82}{space 3} .0383972
{txt}{space 27} {c |}
{space 7}niche_party_previous {c |}
{space 20}NP t-1  {c |}{col 29}{res}{space 2} .5540715{col 41}{space 2} .2746815{col 52}{space 1}    2.02{col 61}{space 3}0.044{col 69}{space 4} .0157058{col 82}{space 3} 1.092437
{txt}{space 27} {c |}
niche_party_previous#cL.pss {c |}
{space 20}NP t-1  {c |}{col 29}{res}{space 2} .0098523{col 41}{space 2}   .21466{col 52}{space 1}    0.05{col 61}{space 3}0.963{col 69}{space 4}-.4108735{col 82}{space 3} .4305781
{txt}{space 27} {c |}
{space 18}vote_loss {c |}{col 29}{res}{space 2} .0075536{col 41}{space 2} .0224766{col 52}{space 1}    0.34{col 61}{space 3}0.737{col 69}{space 4}-.0364998{col 82}{space 3}  .051607
{txt}{space 27} {c |}
{space 17}vote_share {c |}
{space 24}L1. {c |}{col 29}{res}{space 2}-.0577389{col 41}{space 2} .0157064{col 52}{space 1}   -3.68{col 61}{space 3}0.000{col 69}{space 4}-.0885229{col 82}{space 3}-.0269548
{txt}{space 27} {c |}
{space 18}party_age {c |}{col 29}{res}{space 2}-.0143721{col 41}{space 2} .0067265{col 52}{space 1}   -2.14{col 61}{space 3}0.033{col 69}{space 4}-.0275557{col 82}{space 3}-.0011885
{txt}{space 16}lopposition {c |}{col 29}{res}{space 2}  .152202{col 41}{space 2} .2307872{col 52}{space 1}    0.66{col 61}{space 3}0.510{col 69}{space 4}-.3001325{col 82}{space 3} .6045366
{txt}{space 27} {c |}
{space 21}decade {c |}
{space 17}1960-1969  {c |}{col 29}{res}{space 2} .3956673{col 41}{space 2} .3658609{col 52}{space 1}    1.08{col 61}{space 3}0.279{col 69}{space 4}-.3214069{col 82}{space 3} 1.112741
{txt}{space 17}1970-1979  {c |}{col 29}{res}{space 2} .0679977{col 41}{space 2} .3696002{col 52}{space 1}    0.18{col 61}{space 3}0.854{col 69}{space 4}-.6564055{col 82}{space 3} .7924008
{txt}{space 17}1980-1989  {c |}{col 29}{res}{space 2} .2557869{col 41}{space 2} .3934783{col 52}{space 1}    0.65{col 61}{space 3}0.516{col 69}{space 4}-.5154165{col 82}{space 3}  1.02699
{txt}{space 17}1990-1999  {c |}{col 29}{res}{space 2} .1751159{col 41}{space 2} .4402838{col 52}{space 1}    0.40{col 61}{space 3}0.691{col 69}{space 4}-.6878246{col 82}{space 3} 1.038056
{txt}{space 14}2000 onwards  {c |}{col 29}{res}{space 2} .4306983{col 41}{space 2} .4715294{col 52}{space 1}    0.91{col 61}{space 3}0.361{col 69}{space 4}-.4934824{col 82}{space 3} 1.354879
{txt}{space 27} {c |}
{space 22}_cons {c |}{col 29}{res}{space 2} 3.879357{col 41}{space 2} .4875937{col 52}{space 1}    7.96{col 61}{space 3}0.000{col 69}{space 4} 2.923691{col 82}{space 3} 4.835023
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33}   9.2053{col 44}  1.33275{col 58} 6.931072{col 70} 12.22575
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 11.26841{col 44} .4309133{col 58} 10.45471{col 70} 12.14544
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}213.14{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. est store mod1
{txt}
{com}. 
. margins, dydx(L.pss) at(niche_party_previous=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,620

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.1887383{col 26}{space 2} .1158876{col 37}{space 1}   -1.63{col 46}{space 3}0.103{col 54}{space 4}-.4158738{col 67}{space 3} .0383972
{txt}{space 10}2  {c |}{col 14}{res}{space 2} -.178886{col 26}{space 2} .2142591{col 37}{space 1}   -0.83{col 46}{space 3}0.404{col 54}{space 4}-.5988262{col 67}{space 3} .2410542
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset,  ///
> ytitle("Marg. effect of party system saturation t-1") ///
> xtitle("") ///
> title("") ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(a, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmixed nicheness c.l.pss##i.niche_party_previous##c.party_age  vote_loss l.vote_share lopposition i.decade ||  party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4437.5798}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-4437.5798}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}     1,620
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}       200

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       8.1
{txt}{col 63}max{col 67}={col 69}{res}        25

{col 49}{txt}Wald chi2({res}15{txt}){col 67}={col 70}{res}    44.85
{txt}Log likelihood = {res}-4437.5798{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0001

{txt}{hline 40}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                              nicheness{col 41}{c |}      Coef.{col 53}   Std. Err.{col 65}      z{col 73}   P>|z|{col 81}     [95% Con{col 94}f. Interval]
{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 36}pss {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.2626492{col 53}{space 2} .1840607{col 64}{space 1}   -1.43{col 73}{space 3}0.154{col 81}{space 4}-.6234016{col 94}{space 3} .0981031
{txt}{space 39} {c |}
{space 19}niche_party_previous {c |}
{space 32}NP t-1  {c |}{col 41}{res}{space 2} 1.223816{col 53}{space 2} .4531472{col 64}{space 1}    2.70{col 73}{space 3}0.007{col 81}{space 4} .3356642{col 94}{space 3} 2.111968
{txt}{space 39} {c |}
{space 12}niche_party_previous#cL.pss {c |}
{space 32}NP t-1  {c |}{col 41}{res}{space 2}-.0871472{col 53}{space 2} .3439082{col 64}{space 1}   -0.25{col 73}{space 3}0.800{col 81}{space 4}-.7611949{col 94}{space 3} .5869004
{txt}{space 39} {c |}
{space 30}party_age {c |}{col 41}{res}{space 2}-.0123312{col 53}{space 2} .0068793{col 64}{space 1}   -1.79{col 73}{space 3}0.073{col 81}{space 4}-.0258145{col 94}{space 3} .0011521
{txt}{space 39} {c |}
{space 21}cL.pss#c.party_age {c |}{col 41}{res}{space 2} .0017329{col 53}{space 2} .0031468{col 64}{space 1}    0.55{col 73}{space 3}0.582{col 81}{space 4}-.0044347{col 94}{space 3} .0079005
{txt}{space 39} {c |}
{space 7}niche_party_previous#c.party_age {c |}
{space 32}NP t-1  {c |}{col 41}{res}{space 2}-.0144256{col 53}{space 2} .0076357{col 64}{space 1}   -1.89{col 73}{space 3}0.059{col 81}{space 4}-.0293914{col 94}{space 3} .0005401
{txt}{space 39} {c |}
niche_party_previous#cL.pss#c.party_age {c |}
{space 32}NP t-1  {c |}{col 41}{res}{space 2} .0030309{col 53}{space 2} .0073576{col 64}{space 1}    0.41{col 73}{space 3}0.680{col 81}{space 4}-.0113897{col 94}{space 3} .0174515
{txt}{space 39} {c |}
{space 30}vote_loss {c |}{col 41}{res}{space 2} .0059554{col 53}{space 2} .0224657{col 64}{space 1}    0.27{col 73}{space 3}0.791{col 81}{space 4}-.0380765{col 94}{space 3} .0499873
{txt}{space 39} {c |}
{space 29}vote_share {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.0571916{col 53}{space 2} .0156847{col 64}{space 1}   -3.65{col 73}{space 3}0.000{col 81}{space 4}-.0879331{col 94}{space 3}-.0264501
{txt}{space 39} {c |}
{space 28}lopposition {c |}{col 41}{res}{space 2} .1515959{col 53}{space 2} .2306221{col 64}{space 1}    0.66{col 73}{space 3}0.511{col 81}{space 4}-.3004151{col 94}{space 3}  .603607
{txt}{space 39} {c |}
{space 33}decade {c |}
{space 29}1960-1969  {c |}{col 41}{res}{space 2} .3957509{col 53}{space 2} .3654559{col 64}{space 1}    1.08{col 73}{space 3}0.279{col 81}{space 4}-.3205295{col 94}{space 3} 1.112031
{txt}{space 29}1970-1979  {c |}{col 41}{res}{space 2} .0543764{col 53}{space 2} .3692358{col 64}{space 1}    0.15{col 73}{space 3}0.883{col 81}{space 4}-.6693125{col 94}{space 3} .7780653
{txt}{space 29}1980-1989  {c |}{col 41}{res}{space 2} .2461759{col 53}{space 2} .3931012{col 64}{space 1}    0.63{col 73}{space 3}0.531{col 81}{space 4}-.5242883{col 94}{space 3}  1.01664
{txt}{space 29}1990-1999  {c |}{col 41}{res}{space 2} .1360058{col 53}{space 2}  .440499{col 64}{space 1}    0.31{col 73}{space 3}0.758{col 81}{space 4}-.7273565{col 94}{space 3} .9993681
{txt}{space 26}2000 onwards  {c |}{col 41}{res}{space 2} .3849248{col 53}{space 2} .4719975{col 64}{space 1}    0.82{col 73}{space 3}0.415{col 81}{space 4}-.5401733{col 94}{space 3} 1.310023
{txt}{space 39} {c |}
{space 34}_cons {c |}{col 41}{res}{space 2} 3.782629{col 53}{space 2} .4943523{col 64}{space 1}    7.65{col 73}{space 3}0.000{col 81}{space 4} 2.813717{col 94}{space 3} 4.751542
{txt}{hline 40}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 9.169278{col 44} 1.327033{col 58} 6.904689{col 70}  12.1766
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 11.24135{col 44}  .429831{col 58} 10.42969{col 70} 12.11617
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}213.50{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. est store mod2
{txt}
{com}. 
. margins, dydx(L.pss) at(niche_party_previous=(0 1) party_age=(1 25 50 75)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,620

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}75}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:party_age}{space 7}{txt:=} {space 9}75}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.2609163{col 26}{space 2} .1816251{col 37}{space 1}   -1.44{col 46}{space 3}0.151{col 54}{space 4}-.6168949{col 67}{space 3} .0950622
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.2193265{col 26}{space 2} .1324868{col 37}{space 1}   -1.66{col 46}{space 3}0.098{col 54}{space 4}-.4789959{col 67}{space 3} .0403428
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1760039{col 26}{space 2} .1166409{col 37}{space 1}   -1.51{col 46}{space 3}0.131{col 54}{space 4}-.4046158{col 67}{space 3} .0526081
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1326812{col 26}{space 2} .1484432{col 37}{space 1}   -0.89{col 46}{space 3}0.371{col 54}{space 4}-.4236245{col 67}{space 3} .1582622
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.3450327{col 26}{space 2}  .330368{col 37}{space 1}   -1.04{col 46}{space 3}0.296{col 54}{space 4}-.9925419{col 67}{space 3} .3024766
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.2307011{col 26}{space 2} .2284733{col 37}{space 1}   -1.01{col 46}{space 3}0.313{col 54}{space 4}-.6785005{col 67}{space 3} .2170984
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.1116056{col 26}{space 2} .2371027{col 37}{space 1}   -0.47{col 46}{space 3}0.638{col 54}{space 4}-.5763183{col 67}{space 3}  .353107
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .0074898{col 26}{space 2} .3533567{col 37}{space 1}    0.02{col 46}{space 3}0.983{col 54}{space 4}-.6850767{col 67}{space 3} .7000563
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset, xtitle("") ///
>  ytitle("Marg. effect of party sys. saturation t-1") title("")  ///
> scheme(Tufte) ///
> plot1opts(lcolor(none) msymbol(D) msize(large) mcolor(black)) ///
> plot2opts(lcolor(none) msymbol(D) msize(large) mcolor(gs4)) ///
> plot3opts(lcolor(none) msymbol(D) msize(large) mcolor(gs8)) ///
> plot4opts(lcolor(none) msymbol(D) msize(large) mcolor(gs13))  ///
> ci1opts(color(black) lwidth(medthick) msize(medlarge)) ///
> ci2opts(color(gs4) lwidth(medthick) msize(medlarge)) ///
> ci3opts(color(gs8) lwidth(medthick) msize(medlarge)) ///
> ci4opts(color(gs13) lwidth(medthick) msize(medlarge)) ///
> yline(0, lcolor(black)) ///
> allx ///
> legend(order(5 "Age=1" 6 "Age=25" 7 "Age=50" 8 "Age=75")) ///
> graphregion(fcolor(white)) name(b, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous party_age{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmixed nicheness c.l.pss##i.niche_party_previous##c.leaderdom  vote_loss l.vote_share party_age lopposition i.decade ||  party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-2765.5613}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-2765.5613}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}     1,178
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}       104

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}      11.3
{txt}{col 63}max{col 67}={col 69}{res}        25

{col 49}{txt}Wald chi2({res}16{txt}){col 67}={col 70}{res}    44.84
{txt}Log likelihood = {res}-2765.5613{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0001

{txt}{hline 40}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                              nicheness{col 41}{c |}      Coef.{col 53}   Std. Err.{col 65}      z{col 73}   P>|z|{col 81}     [95% Con{col 94}f. Interval]
{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 36}pss {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.3539087{col 53}{space 2} .2893829{col 64}{space 1}   -1.22{col 73}{space 3}0.221{col 81}{space 4}-.9210888{col 94}{space 3} .2132714
{txt}{space 39} {c |}
{space 19}niche_party_previous {c |}
{space 32}NP t-1  {c |}{col 41}{res}{space 2} .3015305{col 53}{space 2} .8830263{col 64}{space 1}    0.34{col 73}{space 3}0.733{col 81}{space 4}-1.429169{col 94}{space 3}  2.03223
{txt}{space 39} {c |}
{space 12}niche_party_previous#cL.pss {c |}
{space 32}NP t-1  {c |}{col 41}{res}{space 2}-.4660423{col 53}{space 2}  .642534{col 64}{space 1}   -0.73{col 73}{space 3}0.468{col 81}{space 4}-1.725386{col 94}{space 3} .7933011
{txt}{space 39} {c |}
{space 30}leaderdom {c |}{col 41}{res}{space 2}-.0427063{col 53}{space 2} .0385145{col 64}{space 1}   -1.11{col 73}{space 3}0.267{col 81}{space 4}-.1181934{col 94}{space 3} .0327807
{txt}{space 39} {c |}
{space 21}cL.pss#c.leaderdom {c |}{col 41}{res}{space 2} .0058978{col 53}{space 2} .0147215{col 64}{space 1}    0.40{col 73}{space 3}0.689{col 81}{space 4}-.0229557{col 94}{space 3} .0347513
{txt}{space 39} {c |}
{space 7}niche_party_previous#c.leaderdom {c |}
{space 32}NP t-1  {c |}{col 41}{res}{space 2} .0071499{col 53}{space 2}  .046992{col 64}{space 1}    0.15{col 73}{space 3}0.879{col 81}{space 4}-.0849527{col 94}{space 3} .0992525
{txt}{space 39} {c |}
niche_party_previous#cL.pss#c.leaderdom {c |}
{space 32}NP t-1  {c |}{col 41}{res}{space 2} .0183934{col 53}{space 2} .0307635{col 64}{space 1}    0.60{col 73}{space 3}0.550{col 81}{space 4}-.0419019{col 94}{space 3} .0786888
{txt}{space 39} {c |}
{space 30}vote_loss {c |}{col 41}{res}{space 2}-.0041387{col 53}{space 2} .0172998{col 64}{space 1}   -0.24{col 73}{space 3}0.811{col 81}{space 4}-.0380456{col 94}{space 3} .0297682
{txt}{space 39} {c |}
{space 29}vote_share {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.0446037{col 53}{space 2} .0122459{col 64}{space 1}   -3.64{col 73}{space 3}0.000{col 81}{space 4}-.0686052{col 94}{space 3}-.0206023
{txt}{space 39} {c |}
{space 30}party_age {c |}{col 41}{res}{space 2}-.0118481{col 53}{space 2} .0055612{col 64}{space 1}   -2.13{col 73}{space 3}0.033{col 81}{space 4}-.0227478{col 94}{space 3}-.0009484
{txt}{space 28}lopposition {c |}{col 41}{res}{space 2}-.0861447{col 53}{space 2} .1700794{col 64}{space 1}   -0.51{col 73}{space 3}0.613{col 81}{space 4}-.4194942{col 94}{space 3} .2472048
{txt}{space 39} {c |}
{space 33}decade {c |}
{space 29}1960-1969  {c |}{col 41}{res}{space 2}-.4056702{col 53}{space 2} .2974591{col 64}{space 1}   -1.36{col 73}{space 3}0.173{col 81}{space 4}-.9886794{col 94}{space 3}  .177339
{txt}{space 29}1970-1979  {c |}{col 41}{res}{space 2}-.1015511{col 53}{space 2} .2956757{col 64}{space 1}   -0.34{col 73}{space 3}0.731{col 81}{space 4}-.6810648{col 94}{space 3} .4779626
{txt}{space 29}1980-1989  {c |}{col 41}{res}{space 2}  -.32928{col 53}{space 2} .3139935{col 64}{space 1}   -1.05{col 73}{space 3}0.294{col 81}{space 4}-.9446961{col 94}{space 3}  .286136
{txt}{space 29}1990-1999  {c |}{col 41}{res}{space 2}-.1765823{col 53}{space 2} .3556262{col 64}{space 1}   -0.50{col 73}{space 3}0.620{col 81}{space 4}-.8735969{col 94}{space 3} .5204323
{txt}{space 26}2000 onwards  {c |}{col 41}{res}{space 2} .1992985{col 53}{space 2} .3968429{col 64}{space 1}    0.50{col 73}{space 3}0.616{col 81}{space 4}-.5784994{col 94}{space 3} .9770963
{txt}{space 39} {c |}
{space 34}_cons {c |}{col 41}{res}{space 2} 4.614346{col 53}{space 2} .7692067{col 64}{space 1}    6.00{col 73}{space 3}0.000{col 81}{space 4} 3.106728{col 94}{space 3} 6.121963
{txt}{hline 40}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 3.248159{col 44}  .585792{col 58} 2.281007{col 70} 4.625385
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 5.405145{col 44} .2350304{col 58} 4.963577{col 70} 5.885995
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}217.90{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. est store mod3
{txt}
{com}. 
. margins, dydx(L.pss) at(niche_party_previous=(0 1) leaderdom=(0 10 20 30)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,178

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.3539087{col 26}{space 2} .2893829{col 37}{space 1}   -1.22{col 46}{space 3}0.221{col 54}{space 4}-.9210888{col 67}{space 3} .2132714
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.2949306{col 26}{space 2} .1573453{col 37}{space 1}   -1.87{col 46}{space 3}0.061{col 54}{space 4}-.6033218{col 67}{space 3} .0134606
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2359525{col 26}{space 2} .0954824{col 37}{space 1}   -2.47{col 46}{space 3}0.013{col 54}{space 4}-.4230946{col 67}{space 3}-.0488104
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1769744{col 26}{space 2} .1918867{col 37}{space 1}   -0.92{col 46}{space 3}0.356{col 54}{space 4}-.5530654{col 67}{space 3} .1991166
{txt}{space 10}5  {c |}{col 14}{res}{space 2} -.819951{col 26}{space 2} .6578349{col 37}{space 1}   -1.25{col 46}{space 3}0.213{col 54}{space 4}-2.109284{col 67}{space 3} .4693817
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.5770384{col 26}{space 2} .3651489{col 37}{space 1}   -1.58{col 46}{space 3}0.114{col 54}{space 4}-1.292717{col 67}{space 3} .1386402
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.3341259{col 26}{space 2} .1809664{col 37}{space 1}   -1.85{col 46}{space 3}0.065{col 54}{space 4}-.6888135{col 67}{space 3} .0205617
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.0912133{col 26}{space 2} .3619284{col 37}{space 1}   -0.25{col 46}{space 3}0.801{col 54}{space 4}-.8005798{col 67}{space 3} .6181532
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset, xtitle("") ///
>  ytitle("Marg. effect of party sys. saturation t-1") title("")  ///
> scheme(Tufte) ///
> plot1opts(lcolor(none) msymbol(D) msize(large) mcolor(black)) ///
> plot2opts(lcolor(none) msymbol(D) msize(large) mcolor(gs4)) ///
> plot3opts(lcolor(none) msymbol(D) msize(large) mcolor(gs8)) ///
> plot4opts(lcolor(none) msymbol(D) msize(large) mcolor(gs13))  ///
> ci1opts(color(black) lwidth(medthick) msize(medlarge)) ///
> ci2opts(color(gs4) lwidth(medthick) msize(medlarge)) ///
> ci3opts(color(gs8) lwidth(medthick) msize(medlarge)) ///
> ci4opts(color(gs13) lwidth(medthick) msize(medlarge)) ///
> yline(0, lcolor(black)) ///
> allx ///
> legend(order(5 "Lead. dom.=0" 6 "Lead. dom.=10" 7 "Lead. dom.=20" 8 "Lead. dom.=30")) ///
> graphregion(fcolor(white)) name(c, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous leaderdom{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmixed nicheness c.l.pss##i.niche_party_previous##c.l.vote_share  vote_loss party_age lopposition i.decade ||  party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4439.5121}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-4439.5121}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}     1,620
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}       200

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       8.1
{txt}{col 63}max{col 67}={col 69}{res}        25

{col 49}{txt}Wald chi2({res}15{txt}){col 67}={col 70}{res}    40.92
{txt}Log likelihood = {res}-4439.5121{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0003

{txt}{hline 42}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                                nicheness{col 43}{c |}      Coef.{col 55}   Std. Err.{col 67}      z{col 75}   P>|z|{col 83}     [95% Con{col 96}f. Interval]
{hline 42}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 38}pss {c |}
{space 38}L1. {c |}{col 43}{res}{space 2}-.1876416{col 55}{space 2} .1709859{col 66}{space 1}   -1.10{col 75}{space 3}0.272{col 83}{space 4}-.5227677{col 96}{space 3} .1474846
{txt}{space 41} {c |}
{space 21}niche_party_previous {c |}
{space 34}NP t-1  {c |}{col 43}{res}{space 2} .6837276{col 55}{space 2} .4072465{col 66}{space 1}    1.68{col 75}{space 3}0.093{col 83}{space 4}-.1144609{col 96}{space 3} 1.481916
{txt}{space 41} {c |}
{space 14}niche_party_previous#cL.pss {c |}
{space 34}NP t-1  {c |}{col 43}{res}{space 2}-.0438366{col 55}{space 2}  .302697{col 66}{space 1}   -0.14{col 75}{space 3}0.885{col 83}{space 4}-.6371119{col 96}{space 3} .5494386
{txt}{space 41} {c |}
{space 31}vote_share {c |}
{space 38}L1. {c |}{col 43}{res}{space 2} -.056035{col 55}{space 2} .0165659{col 66}{space 1}   -3.38{col 75}{space 3}0.001{col 83}{space 4}-.0885035{col 96}{space 3}-.0235665
{txt}{space 41} {c |}
{space 21}cL.pss#cL.vote_share {c |}{col 43}{res}{space 2} .0004939{col 55}{space 2} .0086817{col 66}{space 1}    0.06{col 75}{space 3}0.955{col 83}{space 4}-.0165219{col 96}{space 3} .0175096
{txt}{space 41} {c |}
{space 7}niche_party_previous#cL.vote_share {c |}
{space 34}NP t-1  {c |}{col 43}{res}{space 2}-.0075826{col 55}{space 2} .0206951{col 66}{space 1}   -0.37{col 75}{space 3}0.714{col 83}{space 4}-.0481441{col 96}{space 3}  .032979
{txt}{space 41} {c |}
niche_party_previous#cL.pss#cL.vote_share {c |}
{space 34}NP t-1  {c |}{col 43}{res}{space 2} .0035852{col 55}{space 2}  .021494{col 66}{space 1}    0.17{col 75}{space 3}0.868{col 83}{space 4}-.0385423{col 96}{space 3} .0457126
{txt}{space 41} {c |}
{space 32}vote_loss {c |}{col 43}{res}{space 2}  .007573{col 55}{space 2} .0225185{col 66}{space 1}    0.34{col 75}{space 3}0.737{col 83}{space 4}-.0365625{col 96}{space 3} .0517084
{txt}{space 32}party_age {c |}{col 43}{res}{space 2}-.0143444{col 55}{space 2} .0067358{col 66}{space 1}   -2.13{col 75}{space 3}0.033{col 83}{space 4}-.0275464{col 96}{space 3}-.0011424
{txt}{space 30}lopposition {c |}{col 43}{res}{space 2} .1541377{col 55}{space 2} .2309955{col 66}{space 1}    0.67{col 75}{space 3}0.505{col 83}{space 4}-.2986053{col 96}{space 3} .6068806
{txt}{space 41} {c |}
{space 35}decade {c |}
{space 31}1960-1969  {c |}{col 43}{res}{space 2} .3789123{col 55}{space 2} .3675748{col 66}{space 1}    1.03{col 75}{space 3}0.303{col 83}{space 4}-.3415211{col 96}{space 3} 1.099346
{txt}{space 31}1970-1979  {c |}{col 43}{res}{space 2} .0565004{col 55}{space 2} .3703508{col 66}{space 1}    0.15{col 75}{space 3}0.879{col 83}{space 4}-.6693738{col 96}{space 3} .7823745
{txt}{space 31}1980-1989  {c |}{col 43}{res}{space 2} .2504724{col 55}{space 2} .3937358{col 66}{space 1}    0.64{col 75}{space 3}0.525{col 83}{space 4}-.5212356{col 96}{space 3}  1.02218
{txt}{space 31}1990-1999  {c |}{col 43}{res}{space 2} .1577849{col 55}{space 2} .4417485{col 66}{space 1}    0.36{col 75}{space 3}0.721{col 83}{space 4}-.7080261{col 96}{space 3} 1.023596
{txt}{space 28}2000 onwards  {c |}{col 43}{res}{space 2} .4155184{col 55}{space 2} .4724398{col 66}{space 1}    0.88{col 75}{space 3}0.379{col 83}{space 4}-.5104467{col 96}{space 3} 1.341483
{txt}{space 41} {c |}
{space 36}_cons {c |}{col 43}{res}{space 2}   3.8549{col 55}{space 2} .4915981{col 66}{space 1}    7.84{col 75}{space 3}0.000{col 83}{space 4} 2.891385{col 96}{space 3} 4.818414
{txt}{hline 42}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 9.180428{col 44} 1.335795{col 58} 6.902544{col 70} 12.21003
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 11.26962{col 44}  .431278{col 58} 10.45525{col 70} 12.14741
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}208.34{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. est store mod4
{txt}
{com}. 
. margins, dydx(L.pss) at(niche_party_previous=(0 1) L.vote_share=(0 10 30 50)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,620

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.1876416{col 26}{space 2} .1709859{col 37}{space 1}   -1.10{col 46}{space 3}0.272{col 54}{space 4}-.5227677{col 67}{space 3} .1474846
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.1827029{col 26}{space 2} .1229673{col 37}{space 1}   -1.49{col 46}{space 3}0.137{col 54}{space 4}-.4237144{col 67}{space 3} .0583087
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1728254{col 26}{space 2} .1792023{col 37}{space 1}   -0.96{col 46}{space 3}0.335{col 54}{space 4}-.5240555{col 67}{space 3} .1784046
{txt}{space 10}4  {c |}{col 14}{res}{space 2} -.162948{col 26}{space 2} .3307615{col 37}{space 1}   -0.49{col 46}{space 3}0.622{col 54}{space 4}-.8112287{col 67}{space 3} .4853327
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.2314782{col 26}{space 2} .2929816{col 37}{space 1}   -0.79{col 46}{space 3}0.429{col 54}{space 4}-.8057116{col 67}{space 3} .3427552
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1906879{col 26}{space 2} .2177414{col 37}{space 1}   -0.88{col 46}{space 3}0.381{col 54}{space 4}-.6174532{col 67}{space 3} .2360774
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.1091074{col 26}{space 2} .4848319{col 37}{space 1}   -0.23{col 46}{space 3}0.822{col 54}{space 4} -1.05936{col 67}{space 3} .8411457
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.0275268{col 26}{space 2} .8805596{col 37}{space 1}   -0.03{col 46}{space 3}0.975{col 54}{space 4}-1.753392{col 67}{space 3} 1.698338
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset, xtitle("") ///
>  ytitle("Marg. effect of party sys. saturation t-1") title("")  ///
> scheme(Tufte) ///
> plot1opts(lcolor(none) msymbol(D) msize(large) mcolor(black)) ///
> plot2opts(lcolor(none) msymbol(D) msize(large) mcolor(gs4)) ///
> plot3opts(lcolor(none) msymbol(D) msize(large) mcolor(gs8)) ///
> plot4opts(lcolor(none) msymbol(D) msize(large) mcolor(gs13))  ///
> ci1opts(color(black) lwidth(medthick) msize(medlarge)) ///
> ci2opts(color(gs4) lwidth(medthick) msize(medlarge)) ///
> ci3opts(color(gs8) lwidth(medthick) msize(medlarge)) ///
> ci4opts(color(gs13) lwidth(medthick) msize(medlarge)) ///
> yline(0, lcolor(black)) ///
> allx ///
> legend(order(5 "Size t-1=0" 6 "Size t-1=10" 7 "Size t-1=30" 8 "Size t-1=50")) ///
> graphregion(fcolor(white)) name(d, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous L.vote_share{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. xtmixed nicheness c.l.pss##i.niche_party_previous##i.lopposition vote_loss party_age l.vote_share i.decade || party_id:, var
{res}
{txt}Performing EM optimization: 
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-4437.6605}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-4437.6605}  
{res}
{txt}Computing standard errors:
{res}
{txt}Mixed-effects ML regression{col 49}Number of obs{col 67}={col 69}{res}     1,620
{txt}Group variable: {res}party_id{col 49}{txt}Number of groups{col 67}={col 69}{res}       200

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}       8.1
{txt}{col 63}max{col 67}={col 69}{res}        25

{col 49}{txt}Wald chi2({res}15{txt}){col 67}={col 70}{res}    44.66
{txt}Log likelihood = {res}-4437.6605{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0001

{txt}{hline 40}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                              nicheness{col 41}{c |}      Coef.{col 53}   Std. Err.{col 65}      z{col 73}   P>|z|{col 81}     [95% Con{col 94}f. Interval]
{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 36}pss {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.0702972{col 53}{space 2} .1495044{col 64}{space 1}   -0.47{col 73}{space 3}0.638{col 81}{space 4}-.3633205{col 94}{space 3} .2227262
{txt}{space 39} {c |}
{space 19}niche_party_previous {c |}
{space 32}NP t-1  {c |}{col 41}{res}{space 2} .3295376{col 53}{space 2} .4350655{col 64}{space 1}    0.76{col 73}{space 3}0.449{col 81}{space 4} -.523175{col 94}{space 3}  1.18225
{txt}{space 39} {c |}
{space 12}niche_party_previous#cL.pss {c |}
{space 32}NP t-1  {c |}{col 41}{res}{space 2}-.6126018{col 53}{space 2} .4555872{col 64}{space 1}   -1.34{col 73}{space 3}0.179{col 81}{space 4}-1.505536{col 94}{space 3} .2803327
{txt}{space 39} {c |}
{space 28}lopposition {c |}
{space 24}Opposition t-1  {c |}{col 41}{res}{space 2}  .160114{col 53}{space 2} .2474218{col 64}{space 1}    0.65{col 73}{space 3}0.518{col 81}{space 4}-.3248237{col 94}{space 3} .6450518
{txt}{space 39} {c |}
{space 21}lopposition#cL.pss {c |}
{space 24}Opposition t-1  {c |}{col 41}{res}{space 2}-.2162244{col 53}{space 2} .1643798{col 64}{space 1}   -1.32{col 73}{space 3}0.188{col 81}{space 4}-.5384029{col 94}{space 3} .1059541
{txt}{space 39} {c |}
{space 7}niche_party_previous#lopposition {c |}
{space 17}NP t-1#Opposition t-1  {c |}{col 41}{res}{space 2} .3279656{col 53}{space 2} .5411408{col 64}{space 1}    0.61{col 73}{space 3}0.544{col 81}{space 4}-.7326509{col 94}{space 3} 1.388582
{txt}{space 39} {c |}
niche_party_previous#lopposition#cL.pss {c |}
{space 17}NP t-1#Opposition t-1  {c |}{col 41}{res}{space 2} .8206843{col 53}{space 2} .5146521{col 64}{space 1}    1.59{col 73}{space 3}0.111{col 81}{space 4}-.1880154{col 94}{space 3} 1.829384
{txt}{space 39} {c |}
{space 30}vote_loss {c |}{col 41}{res}{space 2} .0057284{col 53}{space 2} .0224836{col 64}{space 1}    0.25{col 73}{space 3}0.799{col 81}{space 4}-.0383386{col 94}{space 3} .0497955
{txt}{space 30}party_age {c |}{col 41}{res}{space 2}-.0140885{col 53}{space 2} .0067195{col 64}{space 1}   -2.10{col 73}{space 3}0.036{col 81}{space 4}-.0272585{col 94}{space 3}-.0009185
{txt}{space 39} {c |}
{space 29}vote_share {c |}
{space 36}L1. {c |}{col 41}{res}{space 2}-.0570426{col 53}{space 2} .0157933{col 64}{space 1}   -3.61{col 73}{space 3}0.000{col 81}{space 4}-.0879969{col 94}{space 3}-.0260884
{txt}{space 39} {c |}
{space 33}decade {c |}
{space 29}1960-1969  {c |}{col 41}{res}{space 2} .4163838{col 53}{space 2} .3664326{col 64}{space 1}    1.14{col 73}{space 3}0.256{col 81}{space 4}-.3018109{col 94}{space 3} 1.134578
{txt}{space 29}1970-1979  {c |}{col 41}{res}{space 2} .0762357{col 53}{space 2} .3695629{col 64}{space 1}    0.21{col 73}{space 3}0.837{col 81}{space 4}-.6480942{col 94}{space 3} .8005657
{txt}{space 29}1980-1989  {c |}{col 41}{res}{space 2} .2688473{col 53}{space 2} .3934819{col 64}{space 1}    0.68{col 73}{space 3}0.494{col 81}{space 4} -.502363{col 94}{space 3} 1.040058
{txt}{space 29}1990-1999  {c |}{col 41}{res}{space 2} .1784347{col 53}{space 2} .4410404{col 64}{space 1}    0.40{col 73}{space 3}0.686{col 81}{space 4}-.6859887{col 94}{space 3} 1.042858
{txt}{space 26}2000 onwards  {c |}{col 41}{res}{space 2} .4391975{col 53}{space 2} .4720876{col 64}{space 1}    0.93{col 73}{space 3}0.352{col 81}{space 4}-.4860772{col 94}{space 3} 1.364472
{txt}{space 39} {c |}
{space 34}_cons {c |}{col 41}{res}{space 2} 3.829783{col 53}{space 2} .4922105{col 64}{space 1}    7.78{col 73}{space 3}0.000{col 81}{space 4} 2.865068{col 94}{space 3} 4.794498
{txt}{hline 40}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}party_id{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 9.176565{col 44} 1.329935{col 58} 6.907451{col 70} 12.19109
{txt}{hline 29}{c +}{hline 48}
{col 16}var(Residual){col 30}{c |}{res}{col 33} 11.24163{col 44} .4299512{col 58} 10.42975{col 70} 12.11671
{txt}{hline 29}{c BT}{hline 48}
LR test vs. linear model:{col 27}{help j_chibar##|_new:chibar2(01) =} {res}213.08{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. est store mod5
{txt}
{com}. 
. margins, dydx(L.pss) at(niche_party_previous=(0 1) lopposition=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,620

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lopposition}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lopposition}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lopposition}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:niche_party_previous}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:lopposition}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0702972{col 26}{space 2} .1495044{col 37}{space 1}   -0.47{col 46}{space 3}0.638{col 54}{space 4}-.3633205{col 67}{space 3} .2227262
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.2865216{col 26}{space 2}   .13553{col 37}{space 1}   -2.11{col 46}{space 3}0.035{col 54}{space 4}-.5521555{col 67}{space 3}-.0208876
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.6828989{col 26}{space 2} .4552679{col 37}{space 1}   -1.50{col 46}{space 3}0.134{col 54}{space 4}-1.575208{col 67}{space 3} .2094098
{txt}{space 10}4  {c |}{col 14}{res}{space 2} -.078439{col 26}{space 2} .2350907{col 37}{space 1}   -0.33{col 46}{space 3}0.739{col 54}{space 4}-.5392083{col 67}{space 3} .3823302
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset, xtitle("") ///
>  ytitle("Marg. effect of party sys. saturation t-1") title("")  ///
> scheme(Tufte) ///
> plot1opts(lcolor(none) msymbol(D) msize(large) mcolor(black)) ///
> plot2opts(lcolor(none) msymbol(D) msize(large) mcolor(gs13)) ///
> ci1opts(color(black) lwidth(medthick) msize(medlarge)) ///
> ci2opts(color(gs13) lwidth(medthick) msize(medlarge)) ///
> yline(0, lcolor(black)) ///
> allx ///
> legend(order(3 "Government t-1" 4 "Opposition t-1")) ///
> graphregion(fcolor(white)) name(e, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: niche_party_previous lopposition{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. graph combine a b c d e, altshrink graphregion(fcolor(white)) 
{res}{txt}
{com}. capture graph export "C:\Users\MvdWardt\Desktop\Replication adapt or perish/Figure3.wmf", replace
{txt}
{com}. capture esttab  mod1 mod2 mod3 mod4 mod5,  stats(r2 bic N)  starlevels(* 0.1 ** 0.05 *** 0.01) b(3) se(3) , using "C:\Users\MvdWardt\Desktop\Replication adapt or perish/Table1.csv", replace
{txt}
{com}. 
. 
. ***Replicate Table 2 & Figure 4 (Alliance hypothesis)
. 
. xtmelogit inalliance l.pss norepres lopposition l.office_exp l.alliance_exp l.totparlparties party_age  if linalliance==1   || ccode:, var
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-120.14396}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-118.83436}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-118.70765}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-118.70765}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-118.70712}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-118.70712}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}       312
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 70}{res}       14

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         1
{txt}{col 63}avg{col 67}={col 69}{res}      22.3
{txt}{col 63}max{col 67}={col 69}{res}        73

{txt}Integration points = {res}  7{col 49}{txt}Wald chi2({res}7{txt}){col 67}={col 70}{res}    22.38
{txt}Log likelihood = {res}-118.70712{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0022

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    inalliance{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}pss {c |}
{space 11}L1. {c |}{col 16}{res}{space 2} .5356989{col 28}{space 2} .1670414{col 39}{space 1}    3.21{col 48}{space 3}0.001{col 56}{space 4} .2083038{col 69}{space 3} .8630941
{txt}{space 14} {c |}
{space 6}norepres {c |}{col 16}{res}{space 2}-.7058041{col 28}{space 2} .6261101{col 39}{space 1}   -1.13{col 48}{space 3}0.260{col 56}{space 4}-1.932957{col 69}{space 3} .5213491
{txt}{space 3}lopposition {c |}{col 16}{res}{space 2}-.3108011{col 28}{space 2}  .592871{col 39}{space 1}   -0.52{col 48}{space 3}0.600{col 56}{space 4}-1.472807{col 69}{space 3} .8512048
{txt}{space 14} {c |}
{space 4}office_exp {c |}
{space 11}L1. {c |}{col 16}{res}{space 2}-.2753044{col 28}{space 2} .8207433{col 39}{space 1}   -0.34{col 48}{space 3}0.737{col 56}{space 4}-1.883932{col 69}{space 3} 1.333323
{txt}{space 14} {c |}
{space 2}alliance_exp {c |}
{space 11}L1. {c |}{col 16}{res}{space 2} 2.036153{col 28}{space 2} .6789268{col 39}{space 1}    3.00{col 48}{space 3}0.003{col 56}{space 4} .7054805{col 69}{space 3} 3.366825
{txt}{space 14} {c |}
totparlparties {c |}
{space 11}L1. {c |}{col 16}{res}{space 2} -.140611{col 28}{space 2} .0778334{col 39}{space 1}   -1.81{col 48}{space 3}0.071{col 56}{space 4}-.2931617{col 69}{space 3} .0119397
{txt}{space 14} {c |}
{space 5}party_age {c |}{col 16}{res}{space 2} .0061322{col 28}{space 2} .0065802{col 39}{space 1}    0.93{col 48}{space 3}0.351{col 56}{space 4}-.0067648{col 69}{space 3} .0190291
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 1.009327{col 28}{space 2} 1.134221{col 39}{space 1}    0.89{col 48}{space 3}0.374{col 56}{space 4}-1.213706{col 69}{space 3} 3.232361
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} .9909707{col 44} .8551033{col 58} .1826264{col 70} 5.377223
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}3.50{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0307
{txt}
{com}. est store mod1
{txt}
{com}. 
. xtmelogit inalliance l.pss l.advantager norepres lopposition l.office_exp  l.alliance_exp l.totparlparties l.lr_extremity party_age  if linalliance==0 || ccode:, var
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-182.04916}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-177.71097}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-177.58652}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-177.58652}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-177.58588}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-177.58588}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     1,888
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 70}{res}       21

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        12
{txt}{col 63}avg{col 67}={col 69}{res}      89.9
{txt}{col 63}max{col 67}={col 69}{res}       209

{txt}Integration points = {res}  7{col 49}{txt}Wald chi2({res}9{txt}){col 67}={col 70}{res}    35.72
{txt}Log likelihood = {res}-177.58588{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0000

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    inalliance{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      z{col 48}   P>|z|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}pss {c |}
{space 11}L1. {c |}{col 16}{res}{space 2} .3725337{col 28}{space 2} .1312136{col 39}{space 1}    2.84{col 48}{space 3}0.005{col 56}{space 4} .1153598{col 69}{space 3} .6297077
{txt}{space 14} {c |}
{space 4}advantager {c |}
{space 11}L1. {c |}{col 16}{res}{space 2}-1.179775{col 28}{space 2} .7019871{col 39}{space 1}   -1.68{col 48}{space 3}0.093{col 56}{space 4}-2.555645{col 69}{space 3} .1960939
{txt}{space 14} {c |}
{space 6}norepres {c |}{col 16}{res}{space 2}  .810262{col 28}{space 2} .7768772{col 39}{space 1}    1.04{col 48}{space 3}0.297{col 56}{space 4}-.7123893{col 69}{space 3} 2.332913
{txt}{space 3}lopposition {c |}{col 16}{res}{space 2}-.2159369{col 28}{space 2} .5675172{col 39}{space 1}   -0.38{col 48}{space 3}0.704{col 56}{space 4} -1.32825{col 69}{space 3} .8963764
{txt}{space 14} {c |}
{space 4}office_exp {c |}
{space 11}L1. {c |}{col 16}{res}{space 2}-.8488237{col 28}{space 2} .7539075{col 39}{space 1}   -1.13{col 48}{space 3}0.260{col 56}{space 4}-2.326455{col 69}{space 3} .6288078
{txt}{space 14} {c |}
{space 2}alliance_exp {c |}
{space 11}L1. {c |}{col 16}{res}{space 2}   .78203{col 28}{space 2}  1.51464{col 39}{space 1}    0.52{col 48}{space 3}0.606{col 56}{space 4}-2.186609{col 69}{space 3} 3.750669
{txt}{space 14} {c |}
totparlparties {c |}
{space 11}L1. {c |}{col 16}{res}{space 2} .1299197{col 28}{space 2} .0813867{col 39}{space 1}    1.60{col 48}{space 3}0.110{col 56}{space 4}-.0295954{col 69}{space 3} .2894347
{txt}{space 14} {c |}
{space 2}lr_extremity {c |}
{space 11}L1. {c |}{col 16}{res}{space 2}-.0950285{col 28}{space 2} .0876206{col 39}{space 1}   -1.08{col 48}{space 3}0.278{col 56}{space 4}-.2667618{col 69}{space 3} .0767048
{txt}{space 14} {c |}
{space 5}party_age {c |}{col 16}{res}{space 2} .0021272{col 28}{space 2}  .005944{col 39}{space 1}    0.36{col 48}{space 3}0.720{col 56}{space 4}-.0095228{col 69}{space 3} .0137771
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-4.267423{col 28}{space 2} 1.150663{col 39}{space 1}   -3.71{col 48}{space 3}0.000{col 56}{space 4}-6.522681{col 69}{space 3}-2.012166
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 1.619407{col 44} .9306672{col 58} .5250171{col 70} 4.995033
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}28.78{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. est store mod2
{txt}
{com}. 
. xtmelogit inalliance c.l.pss##c.party_age l.advantager norepres lopposition l.office_exp  l.alliance_exp l.totparlparties l.lr_extremity  if linalliance==0  || ccode:, var
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-182.04653}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: -177.6933}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-177.56003}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-177.56003}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-177.55971}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-177.55971}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     1,888
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 70}{res}       21

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        12
{txt}{col 63}avg{col 67}={col 69}{res}      89.9
{txt}{col 63}max{col 67}={col 69}{res}       209

{txt}Integration points = {res}  7{col 49}{txt}Wald chi2({res}10{txt}){col 67}={col 70}{res}    35.58
{txt}Log likelihood = {res}-177.55971{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0001

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        inalliance{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}pss {c |}
{space 15}L1. {c |}{col 20}{res}{space 2} .3455265{col 32}{space 2} .1766798{col 43}{space 1}    1.96{col 52}{space 3}0.051{col 60}{space 4}-.0007594{col 73}{space 3} .6918125
{txt}{space 18} {c |}
{space 9}party_age {c |}{col 20}{res}{space 2} .0015115{col 32}{space 2} .0065475{col 43}{space 1}    0.23{col 52}{space 3}0.817{col 60}{space 4}-.0113214{col 73}{space 3} .0143443
{txt}{space 18} {c |}
cL.pss#c.party_age {c |}{col 20}{res}{space 2} .0009308{col 32}{space 2} .0040709{col 43}{space 1}    0.23{col 52}{space 3}0.819{col 60}{space 4} -.007048{col 73}{space 3} .0089096
{txt}{space 18} {c |}
{space 8}advantager {c |}
{space 15}L1. {c |}{col 20}{res}{space 2}-1.178849{col 32}{space 2} .7033218{col 43}{space 1}   -1.68{col 52}{space 3}0.094{col 60}{space 4}-2.557335{col 73}{space 3} .1996363
{txt}{space 18} {c |}
{space 10}norepres {c |}{col 20}{res}{space 2} .8004928{col 32}{space 2} .7788873{col 43}{space 1}    1.03{col 52}{space 3}0.304{col 60}{space 4}-.7260982{col 73}{space 3} 2.327084
{txt}{space 7}lopposition {c |}{col 20}{res}{space 2}-.2220031{col 32}{space 2} .5670323{col 43}{space 1}   -0.39{col 52}{space 3}0.695{col 60}{space 4}-1.333366{col 73}{space 3} .8893598
{txt}{space 18} {c |}
{space 8}office_exp {c |}
{space 15}L1. {c |}{col 20}{res}{space 2}-.8664963{col 32}{space 2} .7569079{col 43}{space 1}   -1.14{col 52}{space 3}0.252{col 60}{space 4}-2.350009{col 73}{space 3} .6170159
{txt}{space 18} {c |}
{space 6}alliance_exp {c |}
{space 15}L1. {c |}{col 20}{res}{space 2} .8249495{col 32}{space 2} 1.526359{col 43}{space 1}    0.54{col 52}{space 3}0.589{col 60}{space 4} -2.16666{col 73}{space 3} 3.816559
{txt}{space 18} {c |}
{space 4}totparlparties {c |}
{space 15}L1. {c |}{col 20}{res}{space 2} .1288291{col 32}{space 2} .0816687{col 43}{space 1}    1.58{col 52}{space 3}0.115{col 60}{space 4}-.0312385{col 73}{space 3} .2888968
{txt}{space 18} {c |}
{space 6}lr_extremity {c |}
{space 15}L1. {c |}{col 20}{res}{space 2}-.0945355{col 32}{space 2} .0874688{col 43}{space 1}   -1.08{col 52}{space 3}0.280{col 60}{space 4}-.2659711{col 73}{space 3} .0769002
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2}-4.228306{col 32}{space 2} 1.162115{col 43}{space 1}   -3.64{col 52}{space 3}0.000{col 60}{space 4}-6.506009{col 73}{space 3}-1.950602
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 1.625371{col 44} .9337198{col 58} .5271891{col 70} 5.011163
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}28.83{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. est store mod3
{txt}
{com}. 
. margins, dydx(L.pss) at(party_age=(0(1)181)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,888

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict(xb)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}12}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}14}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}15}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}17}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}18}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}19}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}22}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}23}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}24}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}26}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:28._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}27}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:29._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}28}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:30._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}29}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:31._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:32._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}31}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:33._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}32}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:34._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}33}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:35._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}34}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:36._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}35}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:37._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}36}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:38._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}37}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:39._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}38}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:40._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}39}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:41._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}40}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:42._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}41}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:43._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}42}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:44._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}43}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:45._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}44}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:46._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}45}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:47._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}46}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:48._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}47}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:49._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}48}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:50._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}49}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:51._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:52._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}51}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:53._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}52}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:54._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}53}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:55._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}54}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:56._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}55}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:57._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}56}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:58._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}57}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:59._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}58}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:60._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}59}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:61._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}60}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:62._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}61}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:63._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}62}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:64._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}63}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:65._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}64}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:66._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}65}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:67._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}66}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:68._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:69._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}68}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:70._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}69}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:71._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}70}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:72._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}71}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:73._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}72}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:74._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}73}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:75._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}74}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:76._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}75}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:77._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}76}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:78._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}77}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:79._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}78}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:80._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}79}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:81._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}80}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:82._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}81}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:83._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}82}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:84._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}83}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:85._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}84}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:86._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}85}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:87._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}86}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:88._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}87}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:89._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}88}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:90._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}89}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:91._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}90}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:92._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}91}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:93._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}92}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:94._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}93}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:95._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}94}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:96._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}95}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:97._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}96}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:98._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}97}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:99._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}98}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:100._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}99}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:101._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}100}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:102._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}101}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:103._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}102}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:104._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}103}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:105._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}104}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:106._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}105}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:107._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}106}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:108._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}107}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:109._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}108}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:110._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}109}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:111._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}110}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:112._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}111}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:113._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}112}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:114._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}113}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:115._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}114}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:116._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}115}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:117._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}116}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:118._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}117}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:119._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}118}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:120._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}119}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:121._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}120}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:122._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}121}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:123._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}122}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:124._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}123}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:125._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}124}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:126._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}125}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:127._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}126}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:128._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}127}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:129._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}128}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:130._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}129}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:131._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}130}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:132._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}131}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:133._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}132}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:134._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}133}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:135._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}134}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:136._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}135}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:137._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}136}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:138._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}137}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:139._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}138}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:140._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}139}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:141._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}140}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:142._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}141}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:143._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}142}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:144._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}143}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:145._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}144}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:146._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}145}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:147._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}146}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:148._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}147}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:149._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}148}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:150._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}149}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:151._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}150}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:152._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}151}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:153._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}152}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:154._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}153}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:155._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}154}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:156._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}155}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:157._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}156}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:158._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}157}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:159._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}158}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:160._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}159}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:161._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}160}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:162._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}161}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:163._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}162}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:164._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}163}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:165._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}164}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:166._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}165}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:167._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}166}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:168._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}167}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:169._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}168}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:170._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}169}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:171._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}170}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:172._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}171}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:173._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}172}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:174._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}173}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:175._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}174}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:176._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}175}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:177._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}176}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:178._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}177}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:179._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}178}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:180._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}179}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:181._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}180}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:182._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}181}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .3455265{col 26}{space 2} .1766798{col 37}{space 1}    1.96{col 46}{space 3}0.051{col 54}{space 4}-.0007594{col 67}{space 3} .6918125
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .3464573{col 26}{space 2}  .173981{col 37}{space 1}    1.99{col 46}{space 3}0.046{col 54}{space 4} .0054608{col 67}{space 3} .6874539
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .3473882{col 26}{space 2} .1713365{col 37}{space 1}    2.03{col 46}{space 3}0.043{col 54}{space 4} .0115747{col 67}{space 3} .6832016
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  .348319{col 26}{space 2} .1687488{col 37}{space 1}    2.06{col 46}{space 3}0.039{col 54}{space 4} .0175774{col 67}{space 3} .6790606
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .3492498{col 26}{space 2} .1662205{col 37}{space 1}    2.10{col 46}{space 3}0.036{col 54}{space 4} .0234636{col 67}{space 3}  .675036
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .3501806{col 26}{space 2} .1637544{col 37}{space 1}    2.14{col 46}{space 3}0.032{col 54}{space 4} .0292279{col 67}{space 3} .6711334
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .3511115{col 26}{space 2} .1613533{col 37}{space 1}    2.18{col 46}{space 3}0.030{col 54}{space 4} .0348648{col 67}{space 3} .6673581
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .3520423{col 26}{space 2} .1590202{col 37}{space 1}    2.21{col 46}{space 3}0.027{col 54}{space 4} .0403685{col 67}{space 3} .6637161
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .3529731{col 26}{space 2} .1567581{col 37}{space 1}    2.25{col 46}{space 3}0.024{col 54}{space 4} .0457329{col 67}{space 3} .6602133
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .3539039{col 26}{space 2} .1545701{col 37}{space 1}    2.29{col 46}{space 3}0.022{col 54}{space 4} .0509521{col 67}{space 3} .6568557
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .3548348{col 26}{space 2} .1524594{col 37}{space 1}    2.33{col 46}{space 3}0.020{col 54}{space 4} .0560198{col 67}{space 3} .6536497
{txt}{space 9}12  {c |}{col 14}{res}{space 2} .3557656{col 26}{space 2} .1504293{col 37}{space 1}    2.37{col 46}{space 3}0.018{col 54}{space 4} .0609295{col 67}{space 3} .6506017
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .3566964{col 26}{space 2} .1484831{col 37}{space 1}    2.40{col 46}{space 3}0.016{col 54}{space 4} .0656748{col 67}{space 3}  .647718
{txt}{space 9}14  {c |}{col 14}{res}{space 2} .3576272{col 26}{space 2} .1466241{col 37}{space 1}    2.44{col 46}{space 3}0.015{col 54}{space 4} .0702492{col 67}{space 3} .6450052
{txt}{space 9}15  {c |}{col 14}{res}{space 2} .3585581{col 26}{space 2} .1448557{col 37}{space 1}    2.48{col 46}{space 3}0.013{col 54}{space 4} .0746461{col 67}{space 3}   .64247
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .3594889{col 26}{space 2} .1431812{col 37}{space 1}    2.51{col 46}{space 3}0.012{col 54}{space 4} .0788589{col 67}{space 3} .6401189
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .3604197{col 26}{space 2}  .141604{col 37}{space 1}    2.55{col 46}{space 3}0.011{col 54}{space 4}  .082881{col 67}{space 3} .6379584
{txt}{space 9}18  {c |}{col 14}{res}{space 2} .3613505{col 26}{space 2} .1401273{col 37}{space 1}    2.58{col 46}{space 3}0.010{col 54}{space 4} .0867061{col 67}{space 3}  .635995
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .3622814{col 26}{space 2} .1387544{col 37}{space 1}    2.61{col 46}{space 3}0.009{col 54}{space 4} .0903278{col 67}{space 3}  .634235
{txt}{space 9}20  {c |}{col 14}{res}{space 2} .3632122{col 26}{space 2} .1374883{col 37}{space 1}    2.64{col 46}{space 3}0.008{col 54}{space 4}   .09374{col 67}{space 3} .6326844
{txt}{space 9}21  {c |}{col 14}{res}{space 2}  .364143{col 26}{space 2} .1363321{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0969369{col 67}{space 3} .6313491
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .3650738{col 26}{space 2} .1352886{col 37}{space 1}    2.70{col 46}{space 3}0.007{col 54}{space 4} .0999131{col 67}{space 3} .6302346
{txt}{space 9}23  {c |}{col 14}{res}{space 2} .3660047{col 26}{space 2} .1343603{col 37}{space 1}    2.72{col 46}{space 3}0.006{col 54}{space 4} .1026633{col 67}{space 3} .6293461
{txt}{space 9}24  {c |}{col 14}{res}{space 2} .3669355{col 26}{space 2} .1335498{col 37}{space 1}    2.75{col 46}{space 3}0.006{col 54}{space 4} .1051828{col 67}{space 3} .6286882
{txt}{space 9}25  {c |}{col 14}{res}{space 2} .3678663{col 26}{space 2}  .132859{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .1074674{col 67}{space 3} .6282652
{txt}{space 9}26  {c |}{col 14}{res}{space 2} .3687971{col 26}{space 2}   .13229{col 37}{space 1}    2.79{col 46}{space 3}0.005{col 54}{space 4} .1095135{col 67}{space 3} .6280808
{txt}{space 9}27  {c |}{col 14}{res}{space 2}  .369728{col 26}{space 2} .1318443{col 37}{space 1}    2.80{col 46}{space 3}0.005{col 54}{space 4} .1113179{col 67}{space 3} .6281381
{txt}{space 9}28  {c |}{col 14}{res}{space 2} .3706588{col 26}{space 2} .1315232{col 37}{space 1}    2.82{col 46}{space 3}0.005{col 54}{space 4} .1128781{col 67}{space 3} .6284394
{txt}{space 9}29  {c |}{col 14}{res}{space 2} .3715896{col 26}{space 2} .1313275{col 37}{space 1}    2.83{col 46}{space 3}0.005{col 54}{space 4} .1141925{col 67}{space 3} .6289867
{txt}{space 9}30  {c |}{col 14}{res}{space 2} .3725204{col 26}{space 2} .1312578{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4} .1152599{col 67}{space 3}  .629781
{txt}{space 9}31  {c |}{col 14}{res}{space 2} .3734513{col 26}{space 2} .1313143{col 37}{space 1}    2.84{col 46}{space 3}0.004{col 54}{space 4} .1160799{col 67}{space 3} .6308226
{txt}{space 9}32  {c |}{col 14}{res}{space 2} .3743821{col 26}{space 2}  .131497{col 37}{space 1}    2.85{col 46}{space 3}0.004{col 54}{space 4} .1166528{col 67}{space 3} .6321114
{txt}{space 9}33  {c |}{col 14}{res}{space 2} .3753129{col 26}{space 2} .1318051{col 37}{space 1}    2.85{col 46}{space 3}0.004{col 54}{space 4} .1169796{col 67}{space 3} .6336462
{txt}{space 9}34  {c |}{col 14}{res}{space 2} .3762437{col 26}{space 2} .1322379{col 37}{space 1}    2.85{col 46}{space 3}0.004{col 54}{space 4} .1170621{col 67}{space 3} .6354253
{txt}{space 9}35  {c |}{col 14}{res}{space 2} .3771746{col 26}{space 2} .1327942{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4} .1169027{col 67}{space 3} .6374464
{txt}{space 9}36  {c |}{col 14}{res}{space 2} .3781054{col 26}{space 2} .1334724{col 37}{space 1}    2.83{col 46}{space 3}0.005{col 54}{space 4} .1165043{col 67}{space 3} .6397064
{txt}{space 9}37  {c |}{col 14}{res}{space 2} .3790362{col 26}{space 2} .1342706{col 37}{space 1}    2.82{col 46}{space 3}0.005{col 54}{space 4} .1158707{col 67}{space 3} .6422017
{txt}{space 9}38  {c |}{col 14}{res}{space 2}  .379967{col 26}{space 2} .1351867{col 37}{space 1}    2.81{col 46}{space 3}0.005{col 54}{space 4} .1150059{col 67}{space 3} .6449281
{txt}{space 9}39  {c |}{col 14}{res}{space 2} .3808979{col 26}{space 2} .1362184{col 37}{space 1}    2.80{col 46}{space 3}0.005{col 54}{space 4} .1139147{col 67}{space 3}  .647881
{txt}{space 9}40  {c |}{col 14}{res}{space 2} .3818287{col 26}{space 2}  .137363{col 37}{space 1}    2.78{col 46}{space 3}0.005{col 54}{space 4} .1126021{col 67}{space 3} .6510553
{txt}{space 9}41  {c |}{col 14}{res}{space 2} .3827595{col 26}{space 2} .1386178{col 37}{space 1}    2.76{col 46}{space 3}0.006{col 54}{space 4} .1110736{col 67}{space 3} .6544454
{txt}{space 9}42  {c |}{col 14}{res}{space 2} .3836903{col 26}{space 2} .1399798{col 37}{space 1}    2.74{col 46}{space 3}0.006{col 54}{space 4}  .109335{col 67}{space 3} .6580456
{txt}{space 9}43  {c |}{col 14}{res}{space 2} .3846212{col 26}{space 2} .1414458{col 37}{space 1}    2.72{col 46}{space 3}0.007{col 54}{space 4} .1073925{col 67}{space 3} .6618498
{txt}{space 9}44  {c |}{col 14}{res}{space 2}  .385552{col 26}{space 2} .1430127{col 37}{space 1}    2.70{col 46}{space 3}0.007{col 54}{space 4} .1052522{col 67}{space 3} .6658518
{txt}{space 9}45  {c |}{col 14}{res}{space 2} .3864828{col 26}{space 2} .1446773{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .1029205{col 67}{space 3} .6700451
{txt}{space 9}46  {c |}{col 14}{res}{space 2} .3874136{col 26}{space 2} .1464361{col 37}{space 1}    2.65{col 46}{space 3}0.008{col 54}{space 4} .1004042{col 67}{space 3} .6744231
{txt}{space 9}47  {c |}{col 14}{res}{space 2} .3883444{col 26}{space 2} .1482858{col 37}{space 1}    2.62{col 46}{space 3}0.009{col 54}{space 4} .0977096{col 67}{space 3} .6789793
{txt}{space 9}48  {c |}{col 14}{res}{space 2} .3892753{col 26}{space 2} .1502231{col 37}{space 1}    2.59{col 46}{space 3}0.010{col 54}{space 4} .0948433{col 67}{space 3} .6837072
{txt}{space 9}49  {c |}{col 14}{res}{space 2} .3902061{col 26}{space 2} .1522447{col 37}{space 1}    2.56{col 46}{space 3}0.010{col 54}{space 4}  .091812{col 67}{space 3} .6886002
{txt}{space 9}50  {c |}{col 14}{res}{space 2} .3911369{col 26}{space 2} .1543471{col 37}{space 1}    2.53{col 46}{space 3}0.011{col 54}{space 4} .0886221{col 67}{space 3} .6936517
{txt}{space 9}51  {c |}{col 14}{res}{space 2} .3920677{col 26}{space 2} .1565272{col 37}{space 1}    2.50{col 46}{space 3}0.012{col 54}{space 4}   .08528{col 67}{space 3} .6988555
{txt}{space 9}52  {c |}{col 14}{res}{space 2} .3929986{col 26}{space 2} .1587818{col 37}{space 1}    2.48{col 46}{space 3}0.013{col 54}{space 4}  .081792{col 67}{space 3} .7042051
{txt}{space 9}53  {c |}{col 14}{res}{space 2} .3939294{col 26}{space 2} .1611077{col 37}{space 1}    2.45{col 46}{space 3}0.014{col 54}{space 4} .0781642{col 67}{space 3} .7096946
{txt}{space 9}54  {c |}{col 14}{res}{space 2} .3948602{col 26}{space 2} .1635018{col 37}{space 1}    2.42{col 46}{space 3}0.016{col 54}{space 4} .0744025{col 67}{space 3} .7153179
{txt}{space 9}55  {c |}{col 14}{res}{space 2}  .395791{col 26}{space 2} .1659613{col 37}{space 1}    2.38{col 46}{space 3}0.017{col 54}{space 4} .0705128{col 67}{space 3} .7210693
{txt}{space 9}56  {c |}{col 14}{res}{space 2} .3967219{col 26}{space 2} .1684833{col 37}{space 1}    2.35{col 46}{space 3}0.019{col 54}{space 4} .0665007{col 67}{space 3} .7269431
{txt}{space 9}57  {c |}{col 14}{res}{space 2} .3976527{col 26}{space 2}  .171065{col 37}{space 1}    2.32{col 46}{space 3}0.020{col 54}{space 4} .0623715{col 67}{space 3} .7329339
{txt}{space 9}58  {c |}{col 14}{res}{space 2} .3985835{col 26}{space 2} .1737037{col 37}{space 1}    2.29{col 46}{space 3}0.022{col 54}{space 4} .0581306{col 67}{space 3} .7390365
{txt}{space 9}59  {c |}{col 14}{res}{space 2} .3995143{col 26}{space 2} .1763969{col 37}{space 1}    2.26{col 46}{space 3}0.024{col 54}{space 4} .0537828{col 67}{space 3} .7452459
{txt}{space 9}60  {c |}{col 14}{res}{space 2} .4004452{col 26}{space 2} .1791421{col 37}{space 1}    2.24{col 46}{space 3}0.025{col 54}{space 4} .0493331{col 67}{space 3} .7515573
{txt}{space 9}61  {c |}{col 14}{res}{space 2}  .401376{col 26}{space 2}  .181937{col 37}{space 1}    2.21{col 46}{space 3}0.027{col 54}{space 4}  .044786{col 67}{space 3}  .757966
{txt}{space 9}62  {c |}{col 14}{res}{space 2} .4023068{col 26}{space 2} .1847793{col 37}{space 1}    2.18{col 46}{space 3}0.029{col 54}{space 4}  .040146{col 67}{space 3} .7644677
{txt}{space 9}63  {c |}{col 14}{res}{space 2} .4032376{col 26}{space 2} .1876669{col 37}{space 1}    2.15{col 46}{space 3}0.032{col 54}{space 4} .0354173{col 67}{space 3}  .771058
{txt}{space 9}64  {c |}{col 14}{res}{space 2} .4041685{col 26}{space 2} .1905977{col 37}{space 1}    2.12{col 46}{space 3}0.034{col 54}{space 4} .0306038{col 67}{space 3} .7777331
{txt}{space 9}65  {c |}{col 14}{res}{space 2} .4050993{col 26}{space 2} .1935697{col 37}{space 1}    2.09{col 46}{space 3}0.036{col 54}{space 4} .0257096{col 67}{space 3}  .784489
{txt}{space 9}66  {c |}{col 14}{res}{space 2} .4060301{col 26}{space 2} .1965811{col 37}{space 1}    2.07{col 46}{space 3}0.039{col 54}{space 4} .0207382{col 67}{space 3} .7913221
{txt}{space 9}67  {c |}{col 14}{res}{space 2} .4069609{col 26}{space 2} .1996301{col 37}{space 1}    2.04{col 46}{space 3}0.041{col 54}{space 4} .0156931{col 67}{space 3} .7982288
{txt}{space 9}68  {c |}{col 14}{res}{space 2} .4078918{col 26}{space 2}  .202715{col 37}{space 1}    2.01{col 46}{space 3}0.044{col 54}{space 4} .0105776{col 67}{space 3} .8052059
{txt}{space 9}69  {c |}{col 14}{res}{space 2} .4088226{col 26}{space 2} .2058342{col 37}{space 1}    1.99{col 46}{space 3}0.047{col 54}{space 4}  .005395{col 67}{space 3} .8122502
{txt}{space 9}70  {c |}{col 14}{res}{space 2} .4097534{col 26}{space 2} .2089861{col 37}{space 1}    1.96{col 46}{space 3}0.050{col 54}{space 4} .0001482{col 67}{space 3} .8193587
{txt}{space 9}71  {c |}{col 14}{res}{space 2} .4106842{col 26}{space 2} .2121693{col 37}{space 1}    1.94{col 46}{space 3}0.053{col 54}{space 4}  -.00516{col 67}{space 3} .8265285
{txt}{space 9}72  {c |}{col 14}{res}{space 2} .4116151{col 26}{space 2} .2153824{col 37}{space 1}    1.91{col 46}{space 3}0.056{col 54}{space 4}-.0105267{col 67}{space 3} .8337568
{txt}{space 9}73  {c |}{col 14}{res}{space 2} .4125459{col 26}{space 2} .2186241{col 37}{space 1}    1.89{col 46}{space 3}0.059{col 54}{space 4}-.0159495{col 67}{space 3} .8410413
{txt}{space 9}74  {c |}{col 14}{res}{space 2} .4134767{col 26}{space 2} .2218931{col 37}{space 1}    1.86{col 46}{space 3}0.062{col 54}{space 4}-.0214258{col 67}{space 3} .8483792
{txt}{space 9}75  {c |}{col 14}{res}{space 2} .4144075{col 26}{space 2} .2251883{col 37}{space 1}    1.84{col 46}{space 3}0.066{col 54}{space 4}-.0269533{col 67}{space 3} .8557684
{txt}{space 9}76  {c |}{col 14}{res}{space 2} .4153384{col 26}{space 2} .2285084{col 37}{space 1}    1.82{col 46}{space 3}0.069{col 54}{space 4}-.0325299{col 67}{space 3} .8632066
{txt}{space 9}77  {c |}{col 14}{res}{space 2} .4162692{col 26}{space 2} .2318525{col 37}{space 1}    1.80{col 46}{space 3}0.073{col 54}{space 4}-.0381534{col 67}{space 3} .8706918
{txt}{space 9}78  {c |}{col 14}{res}{space 2}    .4172{col 26}{space 2} .2352195{col 37}{space 1}    1.77{col 46}{space 3}0.076{col 54}{space 4}-.0438218{col 67}{space 3} .8782218
{txt}{space 9}79  {c |}{col 14}{res}{space 2} .4181308{col 26}{space 2} .2386085{col 37}{space 1}    1.75{col 46}{space 3}0.080{col 54}{space 4}-.0495332{col 67}{space 3} .8857948
{txt}{space 9}80  {c |}{col 14}{res}{space 2} .4190617{col 26}{space 2} .2420184{col 37}{space 1}    1.73{col 46}{space 3}0.083{col 54}{space 4}-.0552857{col 67}{space 3} .8934091
{txt}{space 9}81  {c |}{col 14}{res}{space 2} .4199925{col 26}{space 2} .2454485{col 37}{space 1}    1.71{col 46}{space 3}0.087{col 54}{space 4}-.0610778{col 67}{space 3} .9010628
{txt}{space 9}82  {c |}{col 14}{res}{space 2} .4209233{col 26}{space 2}  .248898{col 37}{space 1}    1.69{col 46}{space 3}0.091{col 54}{space 4}-.0669077{col 67}{space 3} .9087544
{txt}{space 9}83  {c |}{col 14}{res}{space 2} .4218541{col 26}{space 2} .2523659{col 37}{space 1}    1.67{col 46}{space 3}0.095{col 54}{space 4} -.072774{col 67}{space 3} .9164822
{txt}{space 9}84  {c |}{col 14}{res}{space 2}  .422785{col 26}{space 2} .2558516{col 37}{space 1}    1.65{col 46}{space 3}0.098{col 54}{space 4} -.078675{col 67}{space 3} .9242449
{txt}{space 9}85  {c |}{col 14}{res}{space 2} .4237158{col 26}{space 2} .2593544{col 37}{space 1}    1.63{col 46}{space 3}0.102{col 54}{space 4}-.0846095{col 67}{space 3} .9320411
{txt}{space 9}86  {c |}{col 14}{res}{space 2} .4246466{col 26}{space 2} .2628735{col 37}{space 1}    1.62{col 46}{space 3}0.106{col 54}{space 4} -.090576{col 67}{space 3} .9398692
{txt}{space 9}87  {c |}{col 14}{res}{space 2} .4255774{col 26}{space 2} .2664084{col 37}{space 1}    1.60{col 46}{space 3}0.110{col 54}{space 4}-.0965734{col 67}{space 3} .9477283
{txt}{space 9}88  {c |}{col 14}{res}{space 2} .4265083{col 26}{space 2} .2699583{col 37}{space 1}    1.58{col 46}{space 3}0.114{col 54}{space 4}-.1026003{col 67}{space 3} .9556169
{txt}{space 9}89  {c |}{col 14}{res}{space 2} .4274391{col 26}{space 2} .2735228{col 37}{space 1}    1.56{col 46}{space 3}0.118{col 54}{space 4}-.1086557{col 67}{space 3} .9635339
{txt}{space 9}90  {c |}{col 14}{res}{space 2} .4283699{col 26}{space 2} .2771012{col 37}{space 1}    1.55{col 46}{space 3}0.122{col 54}{space 4}-.1147385{col 67}{space 3} .9714783
{txt}{space 9}91  {c |}{col 14}{res}{space 2} .4293007{col 26}{space 2} .2806931{col 37}{space 1}    1.53{col 46}{space 3}0.126{col 54}{space 4}-.1208476{col 67}{space 3}  .979449
{txt}{space 9}92  {c |}{col 14}{res}{space 2} .4302316{col 26}{space 2} .2842978{col 37}{space 1}    1.51{col 46}{space 3}0.130{col 54}{space 4}-.1269819{col 67}{space 3}  .987445
{txt}{space 9}93  {c |}{col 14}{res}{space 2} .4311624{col 26}{space 2}  .287915{col 37}{space 1}    1.50{col 46}{space 3}0.134{col 54}{space 4}-.1331406{col 67}{space 3} .9954654
{txt}{space 9}94  {c |}{col 14}{res}{space 2} .4320932{col 26}{space 2} .2915442{col 37}{space 1}    1.48{col 46}{space 3}0.138{col 54}{space 4}-.1393228{col 67}{space 3} 1.003509
{txt}{space 9}95  {c |}{col 14}{res}{space 2}  .433024{col 26}{space 2} .2951848{col 37}{space 1}    1.47{col 46}{space 3}0.142{col 54}{space 4}-.1455276{col 67}{space 3} 1.011576
{txt}{space 9}96  {c |}{col 14}{res}{space 2} .4339549{col 26}{space 2} .2988366{col 37}{space 1}    1.45{col 46}{space 3}0.146{col 54}{space 4}-.1517541{col 67}{space 3} 1.019664
{txt}{space 9}97  {c |}{col 14}{res}{space 2} .4348857{col 26}{space 2} .3024991{col 37}{space 1}    1.44{col 46}{space 3}0.151{col 54}{space 4}-.1580016{col 67}{space 3} 1.027773
{txt}{space 9}98  {c |}{col 14}{res}{space 2} .4358165{col 26}{space 2} .3061719{col 37}{space 1}    1.42{col 46}{space 3}0.155{col 54}{space 4}-.1642693{col 67}{space 3} 1.035902
{txt}{space 9}99  {c |}{col 14}{res}{space 2} .4367473{col 26}{space 2} .3098546{col 37}{space 1}    1.41{col 46}{space 3}0.159{col 54}{space 4}-.1705565{col 67}{space 3} 1.044051
{txt}{space 8}100  {c |}{col 14}{res}{space 2} .4376782{col 26}{space 2} .3135469{col 37}{space 1}    1.40{col 46}{space 3}0.163{col 54}{space 4}-.1768625{col 67}{space 3} 1.052219
{txt}{space 8}101  {c |}{col 14}{res}{space 2}  .438609{col 26}{space 2} .3172485{col 37}{space 1}    1.38{col 46}{space 3}0.167{col 54}{space 4}-.1831867{col 67}{space 3} 1.060405
{txt}{space 8}102  {c |}{col 14}{res}{space 2} .4395398{col 26}{space 2} .3209591{col 37}{space 1}    1.37{col 46}{space 3}0.171{col 54}{space 4}-.1895284{col 67}{space 3} 1.068608
{txt}{space 8}103  {c |}{col 14}{res}{space 2} .4404706{col 26}{space 2} .3246783{col 37}{space 1}    1.36{col 46}{space 3}0.175{col 54}{space 4}-.1958871{col 67}{space 3} 1.076828
{txt}{space 8}104  {c |}{col 14}{res}{space 2} .4414015{col 26}{space 2} .3284058{col 37}{space 1}    1.34{col 46}{space 3}0.179{col 54}{space 4}-.2022621{col 67}{space 3} 1.085065
{txt}{space 8}105  {c |}{col 14}{res}{space 2} .4423323{col 26}{space 2} .3321414{col 37}{space 1}    1.33{col 46}{space 3}0.183{col 54}{space 4}-.2086528{col 67}{space 3} 1.093317
{txt}{space 8}106  {c |}{col 14}{res}{space 2} .4432631{col 26}{space 2} .3358848{col 37}{space 1}    1.32{col 46}{space 3}0.187{col 54}{space 4}-.2150589{col 67}{space 3} 1.101585
{txt}{space 8}107  {c |}{col 14}{res}{space 2} .4441939{col 26}{space 2} .3396357{col 37}{space 1}    1.31{col 46}{space 3}0.191{col 54}{space 4}-.2214797{col 67}{space 3} 1.109868
{txt}{space 8}108  {c |}{col 14}{res}{space 2} .4451248{col 26}{space 2} .3433939{col 37}{space 1}    1.30{col 46}{space 3}0.195{col 54}{space 4}-.2279149{col 67}{space 3} 1.118164
{txt}{space 8}109  {c |}{col 14}{res}{space 2} .4460556{col 26}{space 2} .3471591{col 37}{space 1}    1.28{col 46}{space 3}0.199{col 54}{space 4}-.2343638{col 67}{space 3} 1.126475
{txt}{space 8}110  {c |}{col 14}{res}{space 2} .4469864{col 26}{space 2} .3509312{col 37}{space 1}    1.27{col 46}{space 3}0.203{col 54}{space 4}-.2408261{col 67}{space 3} 1.134799
{txt}{space 8}111  {c |}{col 14}{res}{space 2} .4479172{col 26}{space 2} .3547099{col 37}{space 1}    1.26{col 46}{space 3}0.207{col 54}{space 4}-.2473014{col 67}{space 3} 1.143136
{txt}{space 8}112  {c |}{col 14}{res}{space 2} .4488481{col 26}{space 2}  .358495{col 37}{space 1}    1.25{col 46}{space 3}0.211{col 54}{space 4}-.2537892{col 67}{space 3} 1.151485
{txt}{space 8}113  {c |}{col 14}{res}{space 2} .4497789{col 26}{space 2} .3622863{col 37}{space 1}    1.24{col 46}{space 3}0.214{col 54}{space 4}-.2602891{col 67}{space 3} 1.159847
{txt}{space 8}114  {c |}{col 14}{res}{space 2} .4507097{col 26}{space 2} .3660835{col 37}{space 1}    1.23{col 46}{space 3}0.218{col 54}{space 4}-.2668009{col 67}{space 3}  1.16822
{txt}{space 8}115  {c |}{col 14}{res}{space 2} .4516405{col 26}{space 2} .3698867{col 37}{space 1}    1.22{col 46}{space 3}0.222{col 54}{space 4} -.273324{col 67}{space 3} 1.176605
{txt}{space 8}116  {c |}{col 14}{res}{space 2} .4525714{col 26}{space 2} .3736954{col 37}{space 1}    1.21{col 46}{space 3}0.226{col 54}{space 4}-.2798582{col 67}{space 3} 1.185001
{txt}{space 8}117  {c |}{col 14}{res}{space 2} .4535022{col 26}{space 2} .3775096{col 37}{space 1}    1.20{col 46}{space 3}0.230{col 54}{space 4}-.2864031{col 67}{space 3} 1.193407
{txt}{space 8}118  {c |}{col 14}{res}{space 2}  .454433{col 26}{space 2} .3813292{col 37}{space 1}    1.19{col 46}{space 3}0.233{col 54}{space 4}-.2929584{col 67}{space 3} 1.201824
{txt}{space 8}119  {c |}{col 14}{res}{space 2} .4553638{col 26}{space 2} .3851538{col 37}{space 1}    1.18{col 46}{space 3}0.237{col 54}{space 4}-.2995238{col 67}{space 3} 1.210251
{txt}{space 8}120  {c |}{col 14}{res}{space 2} .4562947{col 26}{space 2} .3889835{col 37}{space 1}    1.17{col 46}{space 3}0.241{col 54}{space 4} -.306099{col 67}{space 3} 1.218688
{txt}{space 8}121  {c |}{col 14}{res}{space 2} .4572255{col 26}{space 2}  .392818{col 37}{space 1}    1.16{col 46}{space 3}0.244{col 54}{space 4}-.3126837{col 67}{space 3} 1.227135
{txt}{space 8}122  {c |}{col 14}{res}{space 2} .4581563{col 26}{space 2} .3966573{col 37}{space 1}    1.16{col 46}{space 3}0.248{col 54}{space 4}-.3192777{col 67}{space 3}  1.23559
{txt}{space 8}123  {c |}{col 14}{res}{space 2} .4590871{col 26}{space 2} .4005011{col 37}{space 1}    1.15{col 46}{space 3}0.252{col 54}{space 4}-.3258806{col 67}{space 3} 1.244055
{txt}{space 8}124  {c |}{col 14}{res}{space 2}  .460018{col 26}{space 2} .4043494{col 37}{space 1}    1.14{col 46}{space 3}0.255{col 54}{space 4}-.3324922{col 67}{space 3} 1.252528
{txt}{space 8}125  {c |}{col 14}{res}{space 2} .4609488{col 26}{space 2} .4082019{col 37}{space 1}    1.13{col 46}{space 3}0.259{col 54}{space 4}-.3391123{col 67}{space 3}  1.26101
{txt}{space 8}126  {c |}{col 14}{res}{space 2} .4618796{col 26}{space 2} .4120587{col 37}{space 1}    1.12{col 46}{space 3}0.262{col 54}{space 4}-.3457406{col 67}{space 3}   1.2695
{txt}{space 8}127  {c |}{col 14}{res}{space 2} .4628104{col 26}{space 2} .4159196{col 37}{space 1}    1.11{col 46}{space 3}0.266{col 54}{space 4}-.3523769{col 67}{space 3} 1.277998
{txt}{space 8}128  {c |}{col 14}{res}{space 2} .4637413{col 26}{space 2} .4197844{col 37}{space 1}    1.10{col 46}{space 3}0.269{col 54}{space 4} -.359021{col 67}{space 3} 1.286504
{txt}{space 8}129  {c |}{col 14}{res}{space 2} .4646721{col 26}{space 2} .4236531{col 37}{space 1}    1.10{col 46}{space 3}0.273{col 54}{space 4}-.3656727{col 67}{space 3} 1.295017
{txt}{space 8}130  {c |}{col 14}{res}{space 2} .4656029{col 26}{space 2} .4275255{col 37}{space 1}    1.09{col 46}{space 3}0.276{col 54}{space 4}-.3723317{col 67}{space 3} 1.303538
{txt}{space 8}131  {c |}{col 14}{res}{space 2} .4665337{col 26}{space 2} .4314016{col 37}{space 1}    1.08{col 46}{space 3}0.280{col 54}{space 4}-.3789979{col 67}{space 3} 1.312065
{txt}{space 8}132  {c |}{col 14}{res}{space 2} .4674646{col 26}{space 2} .4352813{col 37}{space 1}    1.07{col 46}{space 3}0.283{col 54}{space 4}-.3856711{col 67}{space 3}   1.3206
{txt}{space 8}133  {c |}{col 14}{res}{space 2} .4683954{col 26}{space 2} .4391644{col 37}{space 1}    1.07{col 46}{space 3}0.286{col 54}{space 4} -.392351{col 67}{space 3} 1.329142
{txt}{space 8}134  {c |}{col 14}{res}{space 2} .4693262{col 26}{space 2} .4430509{col 37}{space 1}    1.06{col 46}{space 3}0.289{col 54}{space 4}-.3990375{col 67}{space 3}  1.33769
{txt}{space 8}135  {c |}{col 14}{res}{space 2}  .470257{col 26}{space 2} .4469406{col 37}{space 1}    1.05{col 46}{space 3}0.293{col 54}{space 4}-.4057305{col 67}{space 3} 1.346245
{txt}{space 8}136  {c |}{col 14}{res}{space 2} .4711878{col 26}{space 2} .4508336{col 37}{space 1}    1.05{col 46}{space 3}0.296{col 54}{space 4}-.4124298{col 67}{space 3} 1.354805
{txt}{space 8}137  {c |}{col 14}{res}{space 2} .4721187{col 26}{space 2} .4547297{col 37}{space 1}    1.04{col 46}{space 3}0.299{col 54}{space 4}-.4191351{col 67}{space 3} 1.363372
{txt}{space 8}138  {c |}{col 14}{res}{space 2} .4730495{col 26}{space 2} .4586288{col 37}{space 1}    1.03{col 46}{space 3}0.302{col 54}{space 4}-.4258464{col 67}{space 3} 1.371945
{txt}{space 8}139  {c |}{col 14}{res}{space 2} .4739803{col 26}{space 2} .4625309{col 37}{space 1}    1.02{col 46}{space 3}0.305{col 54}{space 4}-.4325635{col 67}{space 3} 1.380524
{txt}{space 8}140  {c |}{col 14}{res}{space 2} .4749111{col 26}{space 2} .4664358{col 37}{space 1}    1.02{col 46}{space 3}0.309{col 54}{space 4}-.4392863{col 67}{space 3} 1.389109
{txt}{space 8}141  {c |}{col 14}{res}{space 2}  .475842{col 26}{space 2} .4703436{col 37}{space 1}    1.01{col 46}{space 3}0.312{col 54}{space 4}-.4460146{col 67}{space 3} 1.397699
{txt}{space 8}142  {c |}{col 14}{res}{space 2} .4767728{col 26}{space 2} .4742541{col 37}{space 1}    1.01{col 46}{space 3}0.315{col 54}{space 4}-.4527482{col 67}{space 3} 1.406294
{txt}{space 8}143  {c |}{col 14}{res}{space 2} .4777036{col 26}{space 2} .4781673{col 37}{space 1}    1.00{col 46}{space 3}0.318{col 54}{space 4}-.4594872{col 67}{space 3} 1.414894
{txt}{space 8}144  {c |}{col 14}{res}{space 2} .4786344{col 26}{space 2} .4820832{col 37}{space 1}    0.99{col 46}{space 3}0.321{col 54}{space 4}-.4662312{col 67}{space 3}   1.4235
{txt}{space 8}145  {c |}{col 14}{res}{space 2} .4795653{col 26}{space 2} .4860015{col 37}{space 1}    0.99{col 46}{space 3}0.324{col 54}{space 4}-.4729802{col 67}{space 3} 1.432111
{txt}{space 8}146  {c |}{col 14}{res}{space 2} .4804961{col 26}{space 2} .4899224{col 37}{space 1}    0.98{col 46}{space 3}0.327{col 54}{space 4}-.4797341{col 67}{space 3} 1.440726
{txt}{space 8}147  {c |}{col 14}{res}{space 2} .4814269{col 26}{space 2} .4938456{col 37}{space 1}    0.97{col 46}{space 3}0.330{col 54}{space 4}-.4864927{col 67}{space 3} 1.449347
{txt}{space 8}148  {c |}{col 14}{res}{space 2} .4823577{col 26}{space 2} .4977713{col 37}{space 1}    0.97{col 46}{space 3}0.333{col 54}{space 4} -.493256{col 67}{space 3} 1.457972
{txt}{space 8}149  {c |}{col 14}{res}{space 2} .4832886{col 26}{space 2} .5016992{col 37}{space 1}    0.96{col 46}{space 3}0.335{col 54}{space 4}-.5000239{col 67}{space 3} 1.466601
{txt}{space 8}150  {c |}{col 14}{res}{space 2} .4842194{col 26}{space 2} .5056295{col 37}{space 1}    0.96{col 46}{space 3}0.338{col 54}{space 4}-.5067962{col 67}{space 3} 1.475235
{txt}{space 8}151  {c |}{col 14}{res}{space 2} .4851502{col 26}{space 2} .5095619{col 37}{space 1}    0.95{col 46}{space 3}0.341{col 54}{space 4}-.5135727{col 67}{space 3} 1.483873
{txt}{space 8}152  {c |}{col 14}{res}{space 2}  .486081{col 26}{space 2} .5134965{col 37}{space 1}    0.95{col 46}{space 3}0.344{col 54}{space 4}-.5203536{col 67}{space 3} 1.492516
{txt}{space 8}153  {c |}{col 14}{res}{space 2} .4870119{col 26}{space 2} .5174332{col 37}{space 1}    0.94{col 46}{space 3}0.347{col 54}{space 4}-.5271385{col 67}{space 3} 1.501162
{txt}{space 8}154  {c |}{col 14}{res}{space 2} .4879427{col 26}{space 2} .5213719{col 37}{space 1}    0.94{col 46}{space 3}0.349{col 54}{space 4}-.5339275{col 67}{space 3} 1.509813
{txt}{space 8}155  {c |}{col 14}{res}{space 2} .4888735{col 26}{space 2} .5253127{col 37}{space 1}    0.93{col 46}{space 3}0.352{col 54}{space 4}-.5407205{col 67}{space 3} 1.518468
{txt}{space 8}156  {c |}{col 14}{res}{space 2} .4898043{col 26}{space 2} .5292555{col 37}{space 1}    0.93{col 46}{space 3}0.355{col 54}{space 4}-.5475173{col 67}{space 3} 1.527126
{txt}{space 8}157  {c |}{col 14}{res}{space 2} .4907352{col 26}{space 2} .5332001{col 37}{space 1}    0.92{col 46}{space 3}0.357{col 54}{space 4}-.5543179{col 67}{space 3} 1.535788
{txt}{space 8}158  {c |}{col 14}{res}{space 2}  .491666{col 26}{space 2} .5371467{col 37}{space 1}    0.92{col 46}{space 3}0.360{col 54}{space 4}-.5611222{col 67}{space 3} 1.544454
{txt}{space 8}159  {c |}{col 14}{res}{space 2} .4925968{col 26}{space 2} .5410951{col 37}{space 1}    0.91{col 46}{space 3}0.363{col 54}{space 4}  -.56793{col 67}{space 3} 1.553124
{txt}{space 8}160  {c |}{col 14}{res}{space 2} .4935276{col 26}{space 2} .5450453{col 37}{space 1}    0.91{col 46}{space 3}0.365{col 54}{space 4}-.5747415{col 67}{space 3} 1.561797
{txt}{space 8}161  {c |}{col 14}{res}{space 2} .4944585{col 26}{space 2} .5489972{col 37}{space 1}    0.90{col 46}{space 3}0.368{col 54}{space 4}-.5815563{col 67}{space 3} 1.570473
{txt}{space 8}162  {c |}{col 14}{res}{space 2} .4953893{col 26}{space 2} .5529509{col 37}{space 1}    0.90{col 46}{space 3}0.370{col 54}{space 4}-.5883746{col 67}{space 3} 1.579153
{txt}{space 8}163  {c |}{col 14}{res}{space 2} .4963201{col 26}{space 2} .5569063{col 37}{space 1}    0.89{col 46}{space 3}0.373{col 54}{space 4}-.5951962{col 67}{space 3} 1.587836
{txt}{space 8}164  {c |}{col 14}{res}{space 2} .4972509{col 26}{space 2} .5608633{col 37}{space 1}    0.89{col 46}{space 3}0.375{col 54}{space 4} -.602021{col 67}{space 3} 1.596523
{txt}{space 8}165  {c |}{col 14}{res}{space 2} .4981818{col 26}{space 2}  .564822{col 37}{space 1}    0.88{col 46}{space 3}0.378{col 54}{space 4} -.608849{col 67}{space 3} 1.605212
{txt}{space 8}166  {c |}{col 14}{res}{space 2} .4991126{col 26}{space 2} .5687822{col 37}{space 1}    0.88{col 46}{space 3}0.380{col 54}{space 4}  -.61568{col 67}{space 3} 1.613905
{txt}{space 8}167  {c |}{col 14}{res}{space 2} .5000434{col 26}{space 2}  .572744{col 37}{space 1}    0.87{col 46}{space 3}0.383{col 54}{space 4}-.6225142{col 67}{space 3} 1.622601
{txt}{space 8}168  {c |}{col 14}{res}{space 2} .5009742{col 26}{space 2} .5767073{col 37}{space 1}    0.87{col 46}{space 3}0.385{col 54}{space 4}-.6293513{col 67}{space 3}   1.6313
{txt}{space 8}169  {c |}{col 14}{res}{space 2} .5019051{col 26}{space 2} .5806721{col 37}{space 1}    0.86{col 46}{space 3}0.387{col 54}{space 4}-.6361913{col 67}{space 3} 1.640001
{txt}{space 8}170  {c |}{col 14}{res}{space 2} .5028359{col 26}{space 2} .5846383{col 37}{space 1}    0.86{col 46}{space 3}0.390{col 54}{space 4}-.6430342{col 67}{space 3} 1.648706
{txt}{space 8}171  {c |}{col 14}{res}{space 2} .5037667{col 26}{space 2}  .588606{col 37}{space 1}    0.86{col 46}{space 3}0.392{col 54}{space 4}-.6498799{col 67}{space 3} 1.657413
{txt}{space 8}172  {c |}{col 14}{res}{space 2} .5046975{col 26}{space 2} .5925751{col 37}{space 1}    0.85{col 46}{space 3}0.394{col 54}{space 4}-.6567283{col 67}{space 3} 1.666123
{txt}{space 8}173  {c |}{col 14}{res}{space 2} .5056284{col 26}{space 2} .5965455{col 37}{space 1}    0.85{col 46}{space 3}0.397{col 54}{space 4}-.6635794{col 67}{space 3} 1.674836
{txt}{space 8}174  {c |}{col 14}{res}{space 2} .5065592{col 26}{space 2} .6005173{col 37}{space 1}    0.84{col 46}{space 3}0.399{col 54}{space 4}-.6704332{col 67}{space 3} 1.683552
{txt}{space 8}175  {c |}{col 14}{res}{space 2}   .50749{col 26}{space 2} .6044905{col 37}{space 1}    0.84{col 46}{space 3}0.401{col 54}{space 4}-.6772895{col 67}{space 3}  1.69227
{txt}{space 8}176  {c |}{col 14}{res}{space 2} .5084208{col 26}{space 2} .6084649{col 37}{space 1}    0.84{col 46}{space 3}0.403{col 54}{space 4}-.6841484{col 67}{space 3}  1.70099
{txt}{space 8}177  {c |}{col 14}{res}{space 2} .5093517{col 26}{space 2} .6124405{col 37}{space 1}    0.83{col 46}{space 3}0.406{col 54}{space 4}-.6910097{col 67}{space 3} 1.709713
{txt}{space 8}178  {c |}{col 14}{res}{space 2} .5102825{col 26}{space 2} .6164175{col 37}{space 1}    0.83{col 46}{space 3}0.408{col 54}{space 4}-.6978735{col 67}{space 3} 1.718438
{txt}{space 8}179  {c |}{col 14}{res}{space 2} .5112133{col 26}{space 2} .6203956{col 37}{space 1}    0.82{col 46}{space 3}0.410{col 54}{space 4}-.7047397{col 67}{space 3} 1.727166
{txt}{space 8}180  {c |}{col 14}{res}{space 2} .5121441{col 26}{space 2} .6243749{col 37}{space 1}    0.82{col 46}{space 3}0.412{col 54}{space 4}-.7116082{col 67}{space 3} 1.735896
{txt}{space 8}181  {c |}{col 14}{res}{space 2}  .513075{col 26}{space 2} .6283554{col 37}{space 1}    0.82{col 46}{space 3}0.414{col 54}{space 4} -.718479{col 67}{space 3} 1.744629
{txt}{space 8}182  {c |}{col 14}{res}{space 2} .5140058{col 26}{space 2} .6323371{col 37}{space 1}    0.81{col 46}{space 3}0.416{col 54}{space 4}-.7253521{col 67}{space 3} 1.753364
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. gen xyz=1 if e(sample)==1
{txt}(2,305 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 0 181 182
{txt}(4,011 missing values generated)

{com}. 
. twoway hist party_age if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Party age",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of party system saturation t-1", size(medsmall) axis(1)) ///
> legend(off)  graphregion(color(white)) name(a, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. xtmelogit inalliance c.l.pss##c.leaderdom l.advantager norepres lopposition l.office_exp  l.alliance_exp l.totparlparties l.lr_extremity party_age if linalliance==0  || ccode:, var 
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-74.745724}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-67.361098}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res: -66.01864}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res: -66.01864}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-65.651128}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res: -65.64469}  
{res}{txt}Iteration 3:{space 3}log likelihood = {res:-65.644675}  
{res}{txt}Iteration 4:{space 3}log likelihood = {res:-65.644675}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     1,252
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 70}{res}       18

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}         8
{txt}{col 63}avg{col 67}={col 69}{res}      69.6
{txt}{col 63}max{col 67}={col 69}{res}       191

{txt}Integration points = {res}  7{col 49}{txt}Wald chi2({res}11{txt}){col 67}={col 70}{res}    21.78
{txt}Log likelihood = {res}-65.644675{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0261

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        inalliance{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}pss {c |}
{space 15}L1. {c |}{col 20}{res}{space 2} 2.265499{col 32}{space 2} .7904008{col 43}{space 1}    2.87{col 52}{space 3}0.004{col 60}{space 4} .7163417{col 73}{space 3} 3.814656
{txt}{space 18} {c |}
{space 9}leaderdom {c |}{col 20}{res}{space 2} .1762074{col 32}{space 2} .1168766{col 43}{space 1}    1.51{col 52}{space 3}0.132{col 60}{space 4}-.0528665{col 73}{space 3} .4052813
{txt}{space 18} {c |}
cL.pss#c.leaderdom {c |}{col 20}{res}{space 2}-.0356385{col 32}{space 2} .0298894{col 43}{space 1}   -1.19{col 52}{space 3}0.233{col 60}{space 4}-.0942206{col 73}{space 3} .0229437
{txt}{space 18} {c |}
{space 8}advantager {c |}
{space 15}L1. {c |}{col 20}{res}{space 2}-1.039614{col 32}{space 2} 1.332912{col 43}{space 1}   -0.78{col 52}{space 3}0.435{col 60}{space 4}-3.652073{col 73}{space 3} 1.572846
{txt}{space 18} {c |}
{space 10}norepres {c |}{col 20}{res}{space 2}-1.836607{col 32}{space 2} 1.828698{col 43}{space 1}   -1.00{col 52}{space 3}0.315{col 60}{space 4} -5.42079{col 73}{space 3} 1.747575
{txt}{space 7}lopposition {c |}{col 20}{res}{space 2}-.2125921{col 32}{space 2} .8009583{col 43}{space 1}   -0.27{col 52}{space 3}0.791{col 60}{space 4}-1.782442{col 73}{space 3} 1.357257
{txt}{space 18} {c |}
{space 8}office_exp {c |}
{space 15}L1. {c |}{col 20}{res}{space 2}-.5021974{col 32}{space 2} 1.179584{col 43}{space 1}   -0.43{col 52}{space 3}0.670{col 60}{space 4}-2.814139{col 73}{space 3} 1.809744
{txt}{space 18} {c |}
{space 6}alliance_exp {c |}
{space 15}L1. {c |}{col 20}{res}{space 2}-8.517777{col 32}{space 2}  4.68657{col 43}{space 1}   -1.82{col 52}{space 3}0.069{col 60}{space 4}-17.70329{col 73}{space 3} .6677322
{txt}{space 18} {c |}
{space 4}totparlparties {c |}
{space 15}L1. {c |}{col 20}{res}{space 2}-.0569248{col 32}{space 2}  .178482{col 43}{space 1}   -0.32{col 52}{space 3}0.750{col 60}{space 4} -.406743{col 73}{space 3} .2928934
{txt}{space 18} {c |}
{space 6}lr_extremity {c |}
{space 15}L1. {c |}{col 20}{res}{space 2}-.4646771{col 32}{space 2} .3262181{col 43}{space 1}   -1.42{col 52}{space 3}0.154{col 60}{space 4}-1.104053{col 73}{space 3} .1746987
{txt}{space 18} {c |}
{space 9}party_age {c |}{col 20}{res}{space 2} .0089332{col 32}{space 2} .0106915{col 43}{space 1}    0.84{col 52}{space 3}0.403{col 60}{space 4}-.0120219{col 73}{space 3} .0298882
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-8.667514{col 32}{space 2} 3.274181{col 43}{space 1}   -2.65{col 52}{space 3}0.008{col 60}{space 4}-15.08479{col 73}{space 3}-2.250238
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 8.321321{col 44} 5.283769{col 58} 2.397215{col 70} 28.88535
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}28.43{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. est store mod4
{txt}
{com}. 
. margins, dydx(L.pss) at(leaderdom=(0(1)30)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,252

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict(xb)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 10}9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}12}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}14}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}15}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}17}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}18}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}19}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}22}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}23}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}24}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}26}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:28._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}27}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:29._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}28}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:30._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}29}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:31._at}:{space 1}{res:{txt:leaderdom}{space 7}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 2.265499{col 26}{space 2} .7904008{col 37}{space 1}    2.87{col 46}{space 3}0.004{col 54}{space 4} .7163417{col 67}{space 3} 3.814656
{txt}{space 10}2  {c |}{col 14}{res}{space 2}  2.22986{col 26}{space 2} .7651777{col 37}{space 1}    2.91{col 46}{space 3}0.004{col 54}{space 4} .7301397{col 67}{space 3} 3.729581
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 2.194222{col 26}{space 2}  .740302{col 37}{space 1}    2.96{col 46}{space 3}0.003{col 54}{space 4} .7432566{col 67}{space 3} 3.645187
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 2.158583{col 26}{space 2} .7158101{col 37}{space 1}    3.02{col 46}{space 3}0.003{col 54}{space 4} .7556215{col 67}{space 3} 3.561545
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 2.122945{col 26}{space 2} .6917426{col 37}{space 1}    3.07{col 46}{space 3}0.002{col 54}{space 4} .7671544{col 67}{space 3} 3.478735
{txt}{space 10}6  {c |}{col 14}{res}{space 2} 2.087307{col 26}{space 2} .6681454{col 37}{space 1}    3.12{col 46}{space 3}0.002{col 54}{space 4} .7777656{col 67}{space 3} 3.396847
{txt}{space 10}7  {c |}{col 14}{res}{space 2} 2.051668{col 26}{space 2} .6450701{col 37}{space 1}    3.18{col 46}{space 3}0.001{col 54}{space 4} .7873538{col 67}{space 3} 3.315982
{txt}{space 10}8  {c |}{col 14}{res}{space 2}  2.01603{col 26}{space 2} .6225749{col 37}{space 1}    3.24{col 46}{space 3}0.001{col 54}{space 4} .7958052{col 67}{space 3} 3.236254
{txt}{space 10}9  {c |}{col 14}{res}{space 2} 1.980391{col 26}{space 2} .6007248{col 37}{space 1}    3.30{col 46}{space 3}0.001{col 54}{space 4} .8029922{col 67}{space 3}  3.15779
{txt}{space 9}10  {c |}{col 14}{res}{space 2} 1.944753{col 26}{space 2} .5795927{col 37}{space 1}    3.36{col 46}{space 3}0.001{col 54}{space 4} .8087718{col 67}{space 3} 3.080734
{txt}{space 9}11  {c |}{col 14}{res}{space 2} 1.909114{col 26}{space 2} .5592602{col 37}{space 1}    3.41{col 46}{space 3}0.001{col 54}{space 4} .8129843{col 67}{space 3} 3.005244
{txt}{space 9}12  {c |}{col 14}{res}{space 2} 1.873476{col 26}{space 2} .5398176{col 37}{space 1}    3.47{col 46}{space 3}0.001{col 54}{space 4} .8154528{col 67}{space 3} 2.931499
{txt}{space 9}13  {c |}{col 14}{res}{space 2} 1.837837{col 26}{space 2} .5213643{col 37}{space 1}    3.53{col 46}{space 3}0.000{col 54}{space 4}  .815982{col 67}{space 3} 2.859693
{txt}{space 9}14  {c |}{col 14}{res}{space 2} 1.802199{col 26}{space 2} .5040092{col 37}{space 1}    3.58{col 46}{space 3}0.000{col 54}{space 4} .8143589{col 67}{space 3} 2.790039
{txt}{space 9}15  {c |}{col 14}{res}{space 2}  1.76656{col 26}{space 2} .4878694{col 37}{space 1}    3.62{col 46}{space 3}0.000{col 54}{space 4} .8103539{col 67}{space 3} 2.722767
{txt}{space 9}16  {c |}{col 14}{res}{space 2} 1.730922{col 26}{space 2} .4730693{col 37}{space 1}    3.66{col 46}{space 3}0.000{col 54}{space 4} .8037231{col 67}{space 3} 2.658121
{txt}{space 9}17  {c |}{col 14}{res}{space 2} 1.695283{col 26}{space 2} .4597384{col 37}{space 1}    3.69{col 46}{space 3}0.000{col 54}{space 4} .7942128{col 67}{space 3} 2.596354
{txt}{space 9}18  {c |}{col 14}{res}{space 2} 1.659645{col 26}{space 2} .4480077{col 37}{space 1}    3.70{col 46}{space 3}0.000{col 54}{space 4}  .781566{col 67}{space 3} 2.537724
{txt}{space 9}19  {c |}{col 14}{res}{space 2} 1.624007{col 26}{space 2}  .438006{col 37}{space 1}    3.71{col 46}{space 3}0.000{col 54}{space 4} .7655306{col 67}{space 3} 2.482482
{txt}{space 9}20  {c |}{col 14}{res}{space 2} 1.588368{col 26}{space 2} .4298538{col 37}{space 1}    3.70{col 46}{space 3}0.000{col 54}{space 4} .7458702{col 67}{space 3} 2.430866
{txt}{space 9}21  {c |}{col 14}{res}{space 2}  1.55273{col 26}{space 2}  .423658{col 37}{space 1}    3.67{col 46}{space 3}0.000{col 54}{space 4} .7223753{col 67}{space 3} 2.383084
{txt}{space 9}22  {c |}{col 14}{res}{space 2} 1.517091{col 26}{space 2} .4195052{col 37}{space 1}    3.62{col 46}{space 3}0.000{col 54}{space 4}  .694876{col 67}{space 3} 2.339306
{txt}{space 9}23  {c |}{col 14}{res}{space 2} 1.481453{col 26}{space 2} .4174565{col 37}{space 1}    3.55{col 46}{space 3}0.000{col 54}{space 4}  .663253{col 67}{space 3} 2.299652
{txt}{space 9}24  {c |}{col 14}{res}{space 2} 1.445814{col 26}{space 2} .4175428{col 37}{space 1}    3.46{col 46}{space 3}0.001{col 54}{space 4} .6274453{col 67}{space 3} 2.264183
{txt}{space 9}25  {c |}{col 14}{res}{space 2} 1.410176{col 26}{space 2} .4197629{col 37}{space 1}    3.36{col 46}{space 3}0.001{col 54}{space 4} .5874557{col 67}{space 3} 2.232896
{txt}{space 9}26  {c |}{col 14}{res}{space 2} 1.374537{col 26}{space 2}  .424083{col 37}{space 1}    3.24{col 46}{space 3}0.001{col 54}{space 4} .5433498{col 67}{space 3} 2.205725
{txt}{space 9}27  {c |}{col 14}{res}{space 2} 1.338899{col 26}{space 2} .4304402{col 37}{space 1}    3.11{col 46}{space 3}0.002{col 54}{space 4} .4952516{col 67}{space 3} 2.182546
{txt}{space 9}28  {c |}{col 14}{res}{space 2}  1.30326{col 26}{space 2} .4387458{col 37}{space 1}    2.97{col 46}{space 3}0.003{col 54}{space 4} .4433345{col 67}{space 3} 2.163186
{txt}{space 9}29  {c |}{col 14}{res}{space 2} 1.267622{col 26}{space 2} .4488916{col 37}{space 1}    2.82{col 46}{space 3}0.005{col 54}{space 4} .3878105{col 67}{space 3} 2.147433
{txt}{space 9}30  {c |}{col 14}{res}{space 2} 1.231984{col 26}{space 2} .4607562{col 37}{space 1}    2.67{col 46}{space 3}0.007{col 54}{space 4} .3289179{col 67}{space 3} 2.135049
{txt}{space 9}31  {c |}{col 14}{res}{space 2} 1.196345{col 26}{space 2} .4742106{col 37}{space 1}    2.52{col 46}{space 3}0.012{col 54}{space 4} .2669094{col 67}{space 3} 2.125781
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. gen xyz=1 if e(sample)==1
{txt}(2,941 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 0 30 31
{txt}(4,162 missing values generated)

{com}. 
. twoway hist leaderdom if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Leader dominance",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of party system saturation t-1", size(medsmall) axis(1)) ///
> legend(off)  graphregion(color(white)) name(b, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. xtmelogit inalliance c.l.pss##c.l.vote_share l.advantager norepres lopposition l.office_exp  l.alliance_exp l.totparlparties l.lr_extremity party_age if linalliance==0  || ccode:, var
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-181.05087}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-176.43168}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-176.28921}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-176.28921}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res: -176.2887}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res: -176.2887}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     1,888
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 70}{res}       21

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        12
{txt}{col 63}avg{col 67}={col 69}{res}      89.9
{txt}{col 63}max{col 67}={col 69}{res}       209

{txt}Integration points = {res}  7{col 49}{txt}Wald chi2({res}11{txt}){col 67}={col 70}{res}    34.28
{txt}Log likelihood = {res} -176.2887{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0003

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          inalliance{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}pss {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .2740587{col 34}{space 2}  .172691{col 45}{space 1}    1.59{col 54}{space 3}0.113{col 62}{space 4}-.0644095{col 75}{space 3} .6125268
{txt}{space 20} {c |}
{space 10}vote_share {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.0289645{col 34}{space 2} .0230258{col 45}{space 1}   -1.26{col 54}{space 3}0.208{col 62}{space 4}-.0740943{col 75}{space 3} .0161652
{txt}{space 20} {c |}
cL.pss#cL.vote_share {c |}{col 22}{res}{space 2} .0137893{col 34}{space 2} .0146474{col 45}{space 1}    0.94{col 54}{space 3}0.346{col 62}{space 4} -.014919{col 75}{space 3} .0424975
{txt}{space 20} {c |}
{space 10}advantager {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} -.877001{col 34}{space 2}  .736046{col 45}{space 1}   -1.19{col 54}{space 3}0.233{col 62}{space 4}-2.319625{col 75}{space 3} .5656225
{txt}{space 20} {c |}
{space 12}norepres {c |}{col 22}{res}{space 2}  .885576{col 34}{space 2} .7732699{col 45}{space 1}    1.15{col 54}{space 3}0.252{col 62}{space 4}-.6300052{col 75}{space 3} 2.401157
{txt}{space 9}lopposition {c |}{col 22}{res}{space 2}-.2062583{col 34}{space 2} .5760633{col 45}{space 1}   -0.36{col 54}{space 3}0.720{col 62}{space 4}-1.335322{col 75}{space 3}  .922805
{txt}{space 20} {c |}
{space 10}office_exp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}-.7200138{col 34}{space 2}   .76712{col 45}{space 1}   -0.94{col 54}{space 3}0.348{col 62}{space 4}-2.223541{col 75}{space 3} .7835138
{txt}{space 20} {c |}
{space 8}alliance_exp {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} .5054266{col 34}{space 2} 1.536762{col 45}{space 1}    0.33{col 54}{space 3}0.742{col 62}{space 4}-2.506572{col 75}{space 3} 3.517425
{txt}{space 20} {c |}
{space 6}totparlparties {c |}
{space 17}L1. {c |}{col 22}{res}{space 2}  .105846{col 34}{space 2} .0838754{col 45}{space 1}    1.26{col 54}{space 3}0.207{col 62}{space 4}-.0585467{col 75}{space 3} .2702387
{txt}{space 20} {c |}
{space 8}lr_extremity {c |}
{space 17}L1. {c |}{col 22}{res}{space 2} -.091039{col 34}{space 2} .0865306{col 45}{space 1}   -1.05{col 54}{space 3}0.293{col 62}{space 4}-.2606359{col 75}{space 3}  .078558
{txt}{space 20} {c |}
{space 11}party_age {c |}{col 22}{res}{space 2} .0030623{col 34}{space 2} .0060575{col 45}{space 1}    0.51{col 54}{space 3}0.613{col 62}{space 4}-.0088101{col 75}{space 3} .0149347
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-4.093418{col 34}{space 2} 1.160425{col 45}{space 1}   -3.53{col 54}{space 3}0.000{col 62}{space 4}-6.367809{col 75}{space 3}-1.819026
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33}  1.69698{col 44} .9634489{col 58} .5577155{col 70} 5.163458
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}30.04{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. est store mod5
{txt}
{com}. 
. margins, dydx(L.pss) at(L.vote_share=(0(1)60)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,888

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict(xb)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 10}9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}12}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}14}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}15}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}17}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}18}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}19}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}22}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}23}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}24}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}26}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:28._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}27}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:29._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}28}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:30._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}29}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:31._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:32._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}31}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:33._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}32}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:34._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}33}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:35._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}34}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:36._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}35}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:37._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}36}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:38._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}37}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:39._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}38}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:40._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}39}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:41._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}40}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:42._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}41}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:43._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}42}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:44._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}43}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:45._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}44}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:46._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}45}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:47._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}46}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:48._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}47}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:49._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}48}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:50._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}49}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:51._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:52._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}51}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:53._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}52}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:54._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}53}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:55._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}54}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:56._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}55}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:57._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}56}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:58._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}57}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:59._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}58}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:60._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}59}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:61._at}:{space 1}{res:{txt:L.vote_share}{space 4}{txt:=} {space 9}60}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .2740587{col 26}{space 2}  .172691{col 37}{space 1}    1.59{col 46}{space 3}0.113{col 54}{space 4}-.0644095{col 67}{space 3} .6125268
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .2878479{col 26}{space 2} .1635564{col 37}{space 1}    1.76{col 46}{space 3}0.078{col 54}{space 4}-.0327168{col 67}{space 3} .6084127
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .3016372{col 26}{space 2} .1552686{col 37}{space 1}    1.94{col 46}{space 3}0.052{col 54}{space 4}-.0026836{col 67}{space 3}  .605958
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .3154264{col 26}{space 2} .1479697{col 37}{space 1}    2.13{col 46}{space 3}0.033{col 54}{space 4} .0254111{col 67}{space 3} .6054417
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .3292157{col 26}{space 2} .1418127{col 37}{space 1}    2.32{col 46}{space 3}0.020{col 54}{space 4} .0512679{col 67}{space 3} .6071634
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .3430049{col 26}{space 2} .1369515{col 37}{space 1}    2.50{col 46}{space 3}0.012{col 54}{space 4} .0745848{col 67}{space 3}  .611425
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .3567942{col 26}{space 2} .1335279{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0950843{col 67}{space 3} .6185041
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .3705834{col 26}{space 2}  .131654{col 37}{space 1}    2.81{col 46}{space 3}0.005{col 54}{space 4} .1125464{col 67}{space 3} .6286205
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .3843727{col 26}{space 2} .1313961{col 37}{space 1}    2.93{col 46}{space 3}0.003{col 54}{space 4} .1268411{col 67}{space 3} .6419042
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .3981619{col 26}{space 2} .1327636{col 37}{space 1}    3.00{col 46}{space 3}0.003{col 54}{space 4}   .13795{col 67}{space 3} .6583738
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .4119512{col 26}{space 2} .1357075{col 37}{space 1}    3.04{col 46}{space 3}0.002{col 54}{space 4} .1459695{col 67}{space 3} .6779329
{txt}{space 9}12  {c |}{col 14}{res}{space 2} .4257404{col 26}{space 2} .1401283{col 37}{space 1}    3.04{col 46}{space 3}0.002{col 54}{space 4}  .151094{col 67}{space 3} .7003868
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .4395297{col 26}{space 2} .1458919{col 37}{space 1}    3.01{col 46}{space 3}0.003{col 54}{space 4} .1535867{col 67}{space 3} .7254726
{txt}{space 9}14  {c |}{col 14}{res}{space 2} .4533189{col 26}{space 2} .1528465{col 37}{space 1}    2.97{col 46}{space 3}0.003{col 54}{space 4} .1537452{col 67}{space 3} .7528926
{txt}{space 9}15  {c |}{col 14}{res}{space 2} .4671082{col 26}{space 2} .1608377{col 37}{space 1}    2.90{col 46}{space 3}0.004{col 54}{space 4} .1518721{col 67}{space 3} .7823442
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .4808974{col 26}{space 2}  .169719{col 37}{space 1}    2.83{col 46}{space 3}0.005{col 54}{space 4} .1482543{col 67}{space 3} .8135406
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .4946867{col 26}{space 2} .1793584{col 37}{space 1}    2.76{col 46}{space 3}0.006{col 54}{space 4} .1431508{col 67}{space 3} .8462226
{txt}{space 9}18  {c |}{col 14}{res}{space 2} .5084759{col 26}{space 2} .1896402{col 37}{space 1}    2.68{col 46}{space 3}0.007{col 54}{space 4} .1367881{col 67}{space 3} .8801638
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .5222652{col 26}{space 2} .2004656{col 37}{space 1}    2.61{col 46}{space 3}0.009{col 54}{space 4} .1293599{col 67}{space 3} .9151705
{txt}{space 9}20  {c |}{col 14}{res}{space 2} .5360544{col 26}{space 2} .2117512{col 37}{space 1}    2.53{col 46}{space 3}0.011{col 54}{space 4} .1210296{col 67}{space 3} .9510793
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .5498437{col 26}{space 2} .2234274{col 37}{space 1}    2.46{col 46}{space 3}0.014{col 54}{space 4}  .111934{col 67}{space 3} .9877534
{txt}{space 9}22  {c |}{col 14}{res}{space 2}  .563633{col 26}{space 2} .2354361{col 37}{space 1}    2.39{col 46}{space 3}0.017{col 54}{space 4} .1021867{col 67}{space 3} 1.025079
{txt}{space 9}23  {c |}{col 14}{res}{space 2} .5774222{col 26}{space 2} .2477288{col 37}{space 1}    2.33{col 46}{space 3}0.020{col 54}{space 4} .0918827{col 67}{space 3} 1.062962
{txt}{space 9}24  {c |}{col 14}{res}{space 2} .5912115{col 26}{space 2} .2602654{col 37}{space 1}    2.27{col 46}{space 3}0.023{col 54}{space 4} .0811007{col 67}{space 3} 1.101322
{txt}{space 9}25  {c |}{col 14}{res}{space 2} .6050007{col 26}{space 2} .2730122{col 37}{space 1}    2.22{col 46}{space 3}0.027{col 54}{space 4} .0699066{col 67}{space 3} 1.140095
{txt}{space 9}26  {c |}{col 14}{res}{space 2}   .61879{col 26}{space 2} .2859412{col 37}{space 1}    2.16{col 46}{space 3}0.030{col 54}{space 4} .0583556{col 67}{space 3} 1.179224
{txt}{space 9}27  {c |}{col 14}{res}{space 2} .6325792{col 26}{space 2} .2990286{col 37}{space 1}    2.12{col 46}{space 3}0.034{col 54}{space 4} .0464939{col 67}{space 3} 1.218665
{txt}{space 9}28  {c |}{col 14}{res}{space 2} .6463685{col 26}{space 2} .3122547{col 37}{space 1}    2.07{col 46}{space 3}0.038{col 54}{space 4} .0343605{col 67}{space 3} 1.258376
{txt}{space 9}29  {c |}{col 14}{res}{space 2} .6601577{col 26}{space 2} .3256024{col 37}{space 1}    2.03{col 46}{space 3}0.043{col 54}{space 4} .0219887{col 67}{space 3} 1.298327
{txt}{space 9}30  {c |}{col 14}{res}{space 2}  .673947{col 26}{space 2} .3390575{col 37}{space 1}    1.99{col 46}{space 3}0.047{col 54}{space 4} .0094065{col 67}{space 3} 1.338487
{txt}{space 9}31  {c |}{col 14}{res}{space 2} .6877362{col 26}{space 2} .3526076{col 37}{space 1}    1.95{col 46}{space 3}0.051{col 54}{space 4} -.003362{col 67}{space 3} 1.378834
{txt}{space 9}32  {c |}{col 14}{res}{space 2} .7015255{col 26}{space 2} .3662422{col 37}{space 1}    1.92{col 46}{space 3}0.055{col 54}{space 4} -.016296{col 67}{space 3} 1.419347
{txt}{space 9}33  {c |}{col 14}{res}{space 2} .7153147{col 26}{space 2} .3799522{col 37}{space 1}    1.88{col 46}{space 3}0.060{col 54}{space 4}-.0293778{col 67}{space 3} 1.460007
{txt}{space 9}34  {c |}{col 14}{res}{space 2}  .729104{col 26}{space 2} .3937297{col 37}{space 1}    1.85{col 46}{space 3}0.064{col 54}{space 4} -.042592{col 67}{space 3}   1.5008
{txt}{space 9}35  {c |}{col 14}{res}{space 2} .7428932{col 26}{space 2} .4075678{col 37}{space 1}    1.82{col 46}{space 3}0.068{col 54}{space 4}-.0559251{col 67}{space 3} 1.541712
{txt}{space 9}36  {c |}{col 14}{res}{space 2} .7566825{col 26}{space 2} .4214607{col 37}{space 1}    1.80{col 46}{space 3}0.073{col 54}{space 4}-.0693653{col 67}{space 3}  1.58273
{txt}{space 9}37  {c |}{col 14}{res}{space 2} .7704717{col 26}{space 2}  .435403{col 37}{space 1}    1.77{col 46}{space 3}0.077{col 54}{space 4}-.0829025{col 67}{space 3} 1.623846
{txt}{space 9}38  {c |}{col 14}{res}{space 2}  .784261{col 26}{space 2} .4493902{col 37}{space 1}    1.75{col 46}{space 3}0.081{col 54}{space 4}-.0965276{col 67}{space 3}  1.66505
{txt}{space 9}39  {c |}{col 14}{res}{space 2} .7980502{col 26}{space 2} .4634182{col 37}{space 1}    1.72{col 46}{space 3}0.085{col 54}{space 4}-.1102327{col 67}{space 3} 1.706333
{txt}{space 9}40  {c |}{col 14}{res}{space 2} .8118395{col 26}{space 2} .4774834{col 37}{space 1}    1.70{col 46}{space 3}0.089{col 54}{space 4}-.1240107{col 67}{space 3}  1.74769
{txt}{space 9}41  {c |}{col 14}{res}{space 2} .8256287{col 26}{space 2} .4915825{col 37}{space 1}    1.68{col 46}{space 3}0.093{col 54}{space 4}-.1378553{col 67}{space 3} 1.789113
{txt}{space 9}42  {c |}{col 14}{res}{space 2}  .839418{col 26}{space 2} .5057129{col 37}{space 1}    1.66{col 46}{space 3}0.097{col 54}{space 4} -.151761{col 67}{space 3} 1.830597
{txt}{space 9}43  {c |}{col 14}{res}{space 2} .8532072{col 26}{space 2} .5198718{col 37}{space 1}    1.64{col 46}{space 3}0.101{col 54}{space 4}-.1657228{col 67}{space 3} 1.872137
{txt}{space 9}44  {c |}{col 14}{res}{space 2} .8669965{col 26}{space 2} .5340571{col 37}{space 1}    1.62{col 46}{space 3}0.105{col 54}{space 4}-.1797363{col 67}{space 3} 1.913729
{txt}{space 9}45  {c |}{col 14}{res}{space 2} .8807858{col 26}{space 2} .5482667{col 37}{space 1}    1.61{col 46}{space 3}0.108{col 54}{space 4}-.1937973{col 67}{space 3} 1.955369
{txt}{space 9}46  {c |}{col 14}{res}{space 2}  .894575{col 26}{space 2} .5624988{col 37}{space 1}    1.59{col 46}{space 3}0.112{col 54}{space 4}-.2079024{col 67}{space 3} 1.997052
{txt}{space 9}47  {c |}{col 14}{res}{space 2} .9083643{col 26}{space 2} .5767516{col 37}{space 1}    1.57{col 46}{space 3}0.115{col 54}{space 4}-.2220482{col 67}{space 3} 2.038777
{txt}{space 9}48  {c |}{col 14}{res}{space 2} .9221535{col 26}{space 2} .5910238{col 37}{space 1}    1.56{col 46}{space 3}0.119{col 54}{space 4}-.2362318{col 67}{space 3} 2.080539
{txt}{space 9}49  {c |}{col 14}{res}{space 2} .9359428{col 26}{space 2} .6053139{col 37}{space 1}    1.55{col 46}{space 3}0.122{col 54}{space 4}-.2504506{col 67}{space 3} 2.122336
{txt}{space 9}50  {c |}{col 14}{res}{space 2}  .949732{col 26}{space 2} .6196206{col 37}{space 1}    1.53{col 46}{space 3}0.125{col 54}{space 4}-.2647021{col 67}{space 3} 2.164166
{txt}{space 9}51  {c |}{col 14}{res}{space 2} .9635213{col 26}{space 2} .6339429{col 37}{space 1}    1.52{col 46}{space 3}0.129{col 54}{space 4}-.2789841{col 67}{space 3} 2.206027
{txt}{space 9}52  {c |}{col 14}{res}{space 2} .9773105{col 26}{space 2} .6482798{col 37}{space 1}    1.51{col 46}{space 3}0.132{col 54}{space 4}-.2932945{col 67}{space 3} 2.247916
{txt}{space 9}53  {c |}{col 14}{res}{space 2} .9910998{col 26}{space 2} .6626302{col 37}{space 1}    1.50{col 46}{space 3}0.135{col 54}{space 4}-.3076315{col 67}{space 3} 2.289831
{txt}{space 9}54  {c |}{col 14}{res}{space 2} 1.004889{col 26}{space 2} .6769933{col 37}{space 1}    1.48{col 46}{space 3}0.138{col 54}{space 4}-.3219935{col 67}{space 3} 2.331772
{txt}{space 9}55  {c |}{col 14}{res}{space 2} 1.018678{col 26}{space 2} .6913684{col 37}{space 1}    1.47{col 46}{space 3}0.141{col 54}{space 4}-.3363789{col 67}{space 3} 2.373735
{txt}{space 9}56  {c |}{col 14}{res}{space 2} 1.032468{col 26}{space 2} .7057547{col 37}{space 1}    1.46{col 46}{space 3}0.143{col 54}{space 4}-.3507862{col 67}{space 3} 2.415721
{txt}{space 9}57  {c |}{col 14}{res}{space 2} 1.046257{col 26}{space 2} .7201514{col 37}{space 1}    1.45{col 46}{space 3}0.146{col 54}{space 4}-.3652141{col 67}{space 3} 2.457728
{txt}{space 9}58  {c |}{col 14}{res}{space 2} 1.060046{col 26}{space 2} .7345581{col 37}{space 1}    1.44{col 46}{space 3}0.149{col 54}{space 4}-.3796615{col 67}{space 3} 2.499754
{txt}{space 9}59  {c |}{col 14}{res}{space 2} 1.073835{col 26}{space 2} .7489742{col 37}{space 1}    1.43{col 46}{space 3}0.152{col 54}{space 4}-.3941271{col 67}{space 3} 2.541798
{txt}{space 9}60  {c |}{col 14}{res}{space 2} 1.087625{col 26}{space 2}  .763399{col 37}{space 1}    1.42{col 46}{space 3}0.154{col 54}{space 4}  -.40861{col 67}{space 3} 2.583859
{txt}{space 9}61  {c |}{col 14}{res}{space 2} 1.101414{col 26}{space 2} .7778322{col 37}{space 1}    1.42{col 46}{space 3}0.157{col 54}{space 4}-.4231092{col 67}{space 3} 2.625937
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. gen xyz=1 if e(sample)==1
{txt}(2,305 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 0 60 61
{txt}(4,132 missing values generated)

{com}. 
. gen lsize=l.vote_share
{txt}(1,040 missing values generated)

{com}. twoway hist lsize if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Party size t-1",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of party system saturation t-1", size(medsmall) axis(1)) ///
> legend(off)  graphregion(color(white)) name(c, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. xtmelogit inalliance c.l.pss##i.lopposition l.advantager norepres  l.office_exp  l.alliance_exp l.totparlparties l.lr_extremity party_age  if linalliance==0  || ccode:, var
{res}
{txt}Refining starting values: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-182.14253}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-177.67972}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-177.54791}  
{res}
{txt}Performing gradient-based optimization: 
{res}
{txt}Iteration 0:{space 3}log likelihood = {res:-177.54791}  
{res}{txt}Iteration 1:{space 3}log likelihood = {res:-177.54752}  
{res}{txt}Iteration 2:{space 3}log likelihood = {res:-177.54752}  
{res}
{txt}Mixed-effects logistic regression{col 49}Number of obs{col 67}={col 69}{res}     1,888
{txt}Group variable: {res}ccode{col 49}{txt}Number of groups{col 67}={col 70}{res}       21

{txt}{col 49}Obs per group:
{col 63}min{col 67}={col 69}{res}        12
{txt}{col 63}avg{col 67}={col 69}{res}      89.9
{txt}{col 63}max{col 67}={col 69}{res}       209

{txt}Integration points = {res}  7{col 49}{txt}Wald chi2({res}10{txt}){col 67}={col 70}{res}    35.69
{txt}Log likelihood = {res}-177.54752{col 49}{txt}Prob > chi2{col 67}={col 73}{res}0.0001

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        inalliance{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}pss {c |}
{space 15}L1. {c |}{col 20}{res}{space 2} .4083682{col 32}{space 2} .1834964{col 43}{space 1}    2.23{col 52}{space 3}0.026{col 60}{space 4} .0487219{col 73}{space 3} .7680146
{txt}{space 18} {c |}
{space 7}lopposition {c |}
{space 3}Opposition t-1  {c |}{col 20}{res}{space 2}-.1598854{col 32}{space 2} .6046998{col 43}{space 1}   -0.26{col 52}{space 3}0.791{col 60}{space 4}-1.345075{col 73}{space 3} 1.025305
{txt}{space 18} {c |}
lopposition#cL.pss {c |}
{space 3}Opposition t-1  {c |}{col 20}{res}{space 2}-.0563819{col 32}{space 2} .2032194{col 43}{space 1}   -0.28{col 52}{space 3}0.781{col 60}{space 4}-.4546847{col 73}{space 3} .3419209
{txt}{space 18} {c |}
{space 8}advantager {c |}
{space 15}L1. {c |}{col 20}{res}{space 2}-1.178756{col 32}{space 2} .7022089{col 43}{space 1}   -1.68{col 52}{space 3}0.093{col 60}{space 4} -2.55506{col 73}{space 3} .1975482
{txt}{space 18} {c |}
{space 10}norepres {c |}{col 20}{res}{space 2}  .810088{col 32}{space 2} .7754507{col 43}{space 1}    1.04{col 52}{space 3}0.296{col 60}{space 4}-.7097675{col 73}{space 3} 2.329943
{txt}{space 18} {c |}
{space 8}office_exp {c |}
{space 15}L1. {c |}{col 20}{res}{space 2}-.8502177{col 32}{space 2} .7545744{col 43}{space 1}   -1.13{col 52}{space 3}0.260{col 60}{space 4}-2.329156{col 73}{space 3}  .628721
{txt}{space 18} {c |}
{space 6}alliance_exp {c |}
{space 15}L1. {c |}{col 20}{res}{space 2} .7906558{col 32}{space 2} 1.514003{col 43}{space 1}    0.52{col 52}{space 3}0.602{col 60}{space 4}-2.176736{col 73}{space 3} 3.758048
{txt}{space 18} {c |}
{space 4}totparlparties {c |}
{space 15}L1. {c |}{col 20}{res}{space 2} .1307489{col 32}{space 2} .0815278{col 43}{space 1}    1.60{col 52}{space 3}0.109{col 60}{space 4}-.0290426{col 73}{space 3} .2905404
{txt}{space 18} {c |}
{space 6}lr_extremity {c |}
{space 15}L1. {c |}{col 20}{res}{space 2}-.0935798{col 32}{space 2} .0876474{col 43}{space 1}   -1.07{col 52}{space 3}0.286{col 60}{space 4}-.2653656{col 73}{space 3}  .078206
{txt}{space 18} {c |}
{space 9}party_age {c |}{col 20}{res}{space 2} .0021257{col 32}{space 2} .0059489{col 43}{space 1}    0.36{col 52}{space 3}0.721{col 60}{space 4}-.0095338{col 73}{space 3} .0137853
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}-4.319295{col 32}{space 2} 1.167076{col 43}{space 1}   -3.70{col 52}{space 3}0.000{col 60}{space 4}-6.606723{col 73}{space 3}-2.031867
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{hline 29}{c TT}{hline 48}
{col 3}Random-effects Parameters{col 30}{c |}{col 34}Estimate{col 45}Std. Err.{col 59}[95% Conf. Interval]
{hline 29}{c +}{hline 48}
{res}ccode{txt}: Identity{col 30}{c |}
{col 19}var(_cons){col 30}{c |}{res}{col 33} 1.623487{col 44} .9318369{col 58} .5270876{col 70} 5.000519
{txt}{hline 29}{c BT}{hline 48}
LR test vs. logistic model:{col 29}{help j_chibar##|_new:chibar2(01) =} {res}28.81{col 55}{txt}Prob >= chibar2 = {col 73}{res}0.0000
{txt}
{com}. est store mod6
{txt}
{com}. 
. margins, dydx(L.pss) at(lopposition=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     1,888

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, fixed portion, predict(xb)}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:L.pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:lopposition}{space 5}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:lopposition}{space 5}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}L.pss        {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .4083682{col 26}{space 2} .1834964{col 37}{space 1}    2.23{col 46}{space 3}0.026{col 54}{space 4} .0487219{col 67}{space 3} .7680146
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .3519863{col 26}{space 2} .1506815{col 37}{space 1}    2.34{col 46}{space 3}0.019{col 54}{space 4} .0566559{col 67}{space 3} .6473167
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset,  ///
> ytitle("Marg. effect of party system saturation t-1") ///
> xtitle("") ///
> title("") ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(d, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: lopposition{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. graph combine a b c d , altshrink graphregion(fcolor(white)) 
{res}{txt}
{com}. capture graph export "C:\Users\MvdWardt\Desktop\Replication adapt or perish\Figure4.wmf", replace
{txt}
{com}. capture esttab mod1 mod2 mod3 mod4 mod5 mod6 ,  stats(pr2 bic N)  starlevels(* 0.1 ** 0.05 *** 0.01) b(3) se(3) , using "C:\Users\MvdWardt\Desktop\Replication adapt or perish\Table2.csv", replace
{txt}
{com}. 
. 
. ***Replicate Table 3 & Figure 5 (Merger hypothesis)
. 
. preserve
{txt}
{com}. 
. drop if elec_year==elec_year_parl2
{txt}(260 observations deleted)

{com}. 
. firthlogit merger pss party_age advantager norepres2 opposition office_exp alliance_exp lr_extremity reg_cost party_fin ln_petit
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-58.255519}
rescale:{col 16}penalized log likelihood = {res:-58.255519}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-58.255519}  (not concave)
Iteration 1:{space 3}penalized log likelihood = {res:-54.647049}  
Iteration 2:{space 3}penalized log likelihood = {res:-49.698564}  
Iteration 3:{space 3}penalized log likelihood = {res:-48.960974}  
Iteration 4:{space 3}penalized log likelihood = {res:-48.950687}  
Iteration 5:{space 3}penalized log likelihood = {res:-48.950669}  
Iteration 6:{space 3}penalized log likelihood = {res:-48.950669}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     1,472
{txt}{col 49}Wald chi2({res}11{txt}){col 67}= {res}     19.23
{txt}Penalized log likelihood = {res}-48.950669{txt}{col 49}Prob > chi2{col 67}= {res}    0.0571

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      merger{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}pss {c |}{col 14}{res}{space 2} .1607032{col 26}{space 2} .2172428{col 37}{space 1}    0.74{col 46}{space 3}0.459{col 54}{space 4}-.2650848{col 67}{space 3} .5864913
{txt}{space 3}party_age {c |}{col 14}{res}{space 2}-.0092338{col 26}{space 2} .0111396{col 37}{space 1}   -0.83{col 46}{space 3}0.407{col 54}{space 4}-.0310669{col 67}{space 3} .0125993
{txt}{space 2}advantager {c |}{col 14}{res}{space 2} .2488473{col 26}{space 2} .1388369{col 37}{space 1}    1.79{col 46}{space 3}0.073{col 54}{space 4} -.023268{col 67}{space 3} .5209627
{txt}{space 3}norepres2 {c |}{col 14}{res}{space 2} 2.222738{col 26}{space 2} .6751188{col 37}{space 1}    3.29{col 46}{space 3}0.001{col 54}{space 4} .8995293{col 67}{space 3} 3.545946
{txt}{space 2}opposition {c |}{col 14}{res}{space 2} .5987203{col 26}{space 2}   1.0126{col 37}{space 1}    0.59{col 46}{space 3}0.554{col 54}{space 4} -1.38594{col 67}{space 3}  2.58338
{txt}{space 2}office_exp {c |}{col 14}{res}{space 2} .3331886{col 26}{space 2} 1.372691{col 37}{space 1}    0.24{col 46}{space 3}0.808{col 54}{space 4}-2.357237{col 67}{space 3} 3.023614
{txt}alliance_exp {c |}{col 14}{res}{space 2} .7524093{col 26}{space 2} 1.085013{col 37}{space 1}    0.69{col 46}{space 3}0.488{col 54}{space 4}-1.374177{col 67}{space 3} 2.878995
{txt}lr_extremity {c |}{col 14}{res}{space 2}-.0449039{col 26}{space 2} .1744761{col 37}{space 1}   -0.26{col 46}{space 3}0.797{col 54}{space 4}-.3868707{col 67}{space 3}  .297063
{txt}{space 4}reg_cost {c |}{col 14}{res}{space 2} .1453298{col 26}{space 2} 2.412243{col 37}{space 1}    0.06{col 46}{space 3}0.952{col 54}{space 4} -4.58258{col 67}{space 3}  4.87324
{txt}{space 3}party_fin {c |}{col 14}{res}{space 2}  .182801{col 26}{space 2} .6128425{col 37}{space 1}    0.30{col 46}{space 3}0.765{col 54}{space 4}-1.018348{col 67}{space 3}  1.38395
{txt}{space 4}ln_petit {c |}{col 14}{res}{space 2}-.0921569{col 26}{space 2} .1700651{col 37}{space 1}   -0.54{col 46}{space 3}0.588{col 54}{space 4}-.4254783{col 67}{space 3} .2411645
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-5.284201{col 26}{space 2} 1.249476{col 37}{space 1}   -4.23{col 46}{space 3}0.000{col 54}{space 4}-7.733128{col 67}{space 3}-2.835274
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. tab merger if e(sample)==1

      {txt}Party {c |}
     merges {c |}
      after {c |}
 election t {c |}
  (based on {c |}
  data from {c |}
Parlgov.org {c |}
       plus {c |}
 additional {c |}
         da {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      1,460       99.18       99.18
{txt}          1 {c |}{res}         12        0.82      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,472      100.00
{txt}
{com}. est store mod1
{txt}
{com}. firthfit
{txt}(2,461 missing values generated)
(2,461 missing values generated)
(2,461 missing values generated)
{res}
{txt}{space 0}{space 0}{ralign 24:}{space 1}{c |}{space 1}{ralign 11:firthlogit}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Log-likelihood}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Intercept only}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    -58.256}}}{space 1}
{space 0}{space 0}{ralign 24:Full model}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    -48.951}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Information criteria}}{c |}{space 13}
{space 0}{space 0}{ralign 24:AIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    121.901}}}{space 1}
{space 0}{space 0}{ralign 24:BIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    185.434}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:R^2}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Cox-Snell/ML}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.013}}}{space 1}
{space 0}{space 0}{ralign 24:Cragg-Uhler/Nagelkerke}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.165}}}{space 1}
{space 0}{space 0}{ralign 24:Efron}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.004}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.160}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden (adj)}{space 1}{c |}{space 1}{ralign 11:{res:{sf:     -0.046}}}{space 1}
{space 0}{space 0}{ralign 24:McKelvey & Zavoina}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.148}}}{space 1}
{space 0}{space 0}{ralign 24:Tjur's D}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.020}}}{space 1}
{space 0}{hline 25}{c  BT}{hline 13}

{com}. 
. firthlogit merger pss party_age norepres2 opposition office_exp alliance_exp 
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-269.31101}
rescale:{col 16}penalized log likelihood = {res:-269.31101}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-269.31101}  
Iteration 1:{space 3}penalized log likelihood = {res: -261.5267}  
Iteration 2:{space 3}penalized log likelihood = {res:-252.95449}  
Iteration 3:{space 3}penalized log likelihood = {res:-252.90206}  
Iteration 4:{space 3}penalized log likelihood = {res:-252.90203}  
Iteration 5:{space 3}penalized log likelihood = {res:-252.90203}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     3,008
{txt}{col 49}Wald chi2({res}6{txt}){col 67}= {res}     29.70
{txt}Penalized log likelihood = {res}-252.90203{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      merger{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}pss {c |}{col 14}{res}{space 2}-.0009978{col 26}{space 2} .0922747{col 37}{space 1}   -0.01{col 46}{space 3}0.991{col 54}{space 4}-.1818529{col 67}{space 3} .1798573
{txt}{space 3}party_age {c |}{col 14}{res}{space 2} -.015701{col 26}{space 2} .0058455{col 37}{space 1}   -2.69{col 46}{space 3}0.007{col 54}{space 4}-.0271579{col 67}{space 3}-.0042441
{txt}{space 3}norepres2 {c |}{col 14}{res}{space 2} .1664533{col 26}{space 2} .3334036{col 37}{space 1}    0.50{col 46}{space 3}0.618{col 54}{space 4}-.4870058{col 67}{space 3} .8199123
{txt}{space 2}opposition {c |}{col 14}{res}{space 2} 1.301063{col 26}{space 2} .6038122{col 37}{space 1}    2.15{col 46}{space 3}0.031{col 54}{space 4}  .117613{col 67}{space 3} 2.484513
{txt}{space 2}office_exp {c |}{col 14}{res}{space 2} .4349372{col 26}{space 2} .6630045{col 37}{space 1}    0.66{col 46}{space 3}0.512{col 54}{space 4}-.8645277{col 67}{space 3} 1.734402
{txt}alliance_exp {c |}{col 14}{res}{space 2} 1.356264{col 26}{space 2} .3578264{col 37}{space 1}    3.79{col 46}{space 3}0.000{col 54}{space 4}  .654937{col 67}{space 3} 2.057591
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-4.842588{col 26}{space 2}  .645184{col 37}{space 1}   -7.51{col 46}{space 3}0.000{col 54}{space 4}-6.107126{col 67}{space 3}-3.578051
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. tab merger if e(sample)==1

      {txt}Party {c |}
     merges {c |}
      after {c |}
 election t {c |}
  (based on {c |}
  data from {c |}
Parlgov.org {c |}
       plus {c |}
 additional {c |}
         da {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      2,951       98.11       98.11
{txt}          1 {c |}{res}         57        1.89      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      3,008      100.00
{txt}
{com}. est store mod2
{txt}
{com}. firthfit
{txt}(925 missing values generated)
(925 missing values generated)
(925 missing values generated)
{res}
{txt}{space 0}{space 0}{ralign 24:}{space 1}{c |}{space 1}{ralign 11:firthlogit}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Log-likelihood}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Intercept only}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -269.311}}}{space 1}
{space 0}{space 0}{ralign 24:Full model}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -252.902}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Information criteria}}{c |}{space 13}
{space 0}{space 0}{ralign 24:AIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    519.804}}}{space 1}
{space 0}{space 0}{ralign 24:BIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    561.867}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:R^2}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Cox-Snell/ML}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.011}}}{space 1}
{space 0}{space 0}{ralign 24:Cragg-Uhler/Nagelkerke}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.066}}}{space 1}
{space 0}{space 0}{ralign 24:Efron}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.015}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.061}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden (adj)}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.035}}}{space 1}
{space 0}{space 0}{ralign 24:McKelvey & Zavoina}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.185}}}{space 1}
{space 0}{space 0}{ralign 24:Tjur's D}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.015}}}{space 1}
{space 0}{hline 25}{c  BT}{hline 13}

{com}. 
. firthlogit merger c.pss##c.party_age norepres2 opposition office_exp alliance_exp 
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-263.60276}
rescale:{col 16}penalized log likelihood = {res:-263.60276}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-263.60276}  
Iteration 1:{space 3}penalized log likelihood = {res:-255.24121}  
Iteration 2:{space 3}penalized log likelihood = {res:-245.57607}  
Iteration 3:{space 3}penalized log likelihood = {res:-245.44199}  
Iteration 4:{space 3}penalized log likelihood = {res: -245.4417}  
Iteration 5:{space 3}penalized log likelihood = {res: -245.4417}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     3,008
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}     31.40
{txt}Penalized log likelihood = {res} -245.4417{txt}{col 49}Prob > chi2{col 67}= {res}    0.0001

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           merger{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}pss {c |}{col 19}{res}{space 2}-.1552703{col 31}{space 2} .1228677{col 42}{space 1}   -1.26{col 51}{space 3}0.206{col 59}{space 4}-.3960865{col 72}{space 3} .0855459
{txt}{space 8}party_age {c |}{col 19}{res}{space 2}-.0195176{col 31}{space 2} .0066082{col 42}{space 1}   -2.95{col 51}{space 3}0.003{col 59}{space 4}-.0324695{col 72}{space 3}-.0065656
{txt}{space 17} {c |}
c.pss#c.party_age {c |}{col 19}{res}{space 2}  .008553{col 31}{space 2} .0040572{col 42}{space 1}    2.11{col 51}{space 3}0.035{col 59}{space 4} .0006011{col 72}{space 3} .0165049
{txt}{space 17} {c |}
{space 8}norepres2 {c |}{col 19}{res}{space 2} .1752966{col 31}{space 2} .3338817{col 42}{space 1}    0.53{col 51}{space 3}0.600{col 59}{space 4}-.4790995{col 72}{space 3} .8296927
{txt}{space 7}opposition {c |}{col 19}{res}{space 2} 1.274369{col 31}{space 2}  .604958{col 42}{space 1}    2.11{col 51}{space 3}0.035{col 59}{space 4} .0886728{col 72}{space 3} 2.460065
{txt}{space 7}office_exp {c |}{col 19}{res}{space 2} .3823192{col 31}{space 2} .6702422{col 42}{space 1}    0.57{col 51}{space 3}0.568{col 59}{space 4}-.9313313{col 72}{space 3}  1.69597
{txt}{space 5}alliance_exp {c |}{col 19}{res}{space 2} 1.429412{col 31}{space 2} .3573833{col 42}{space 1}    4.00{col 51}{space 3}0.000{col 59}{space 4} .7289533{col 72}{space 3}  2.12987
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-4.761725{col 31}{space 2} .6451649{col 42}{space 1}   -7.38{col 51}{space 3}0.000{col 59}{space 4}-6.026225{col 72}{space 3}-3.497225
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. tab merger if e(sample)==1

      {txt}Party {c |}
     merges {c |}
      after {c |}
 election t {c |}
  (based on {c |}
  data from {c |}
Parlgov.org {c |}
       plus {c |}
 additional {c |}
         da {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      2,951       98.11       98.11
{txt}          1 {c |}{res}         57        1.89      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      3,008      100.00
{txt}
{com}. est store mod3
{txt}
{com}. firthfit
{txt}(925 missing values generated)
(925 missing values generated)
(925 missing values generated)
{res}
{txt}{space 0}{space 0}{ralign 24:}{space 1}{c |}{space 1}{ralign 11:firthlogit}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Log-likelihood}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Intercept only}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -263.603}}}{space 1}
{space 0}{space 0}{ralign 24:Full model}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -245.442}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Information criteria}}{c |}{space 13}
{space 0}{space 0}{ralign 24:AIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    506.883}}}{space 1}
{space 0}{space 0}{ralign 24:BIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    554.956}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:R^2}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Cox-Snell/ML}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.012}}}{space 1}
{space 0}{space 0}{ralign 24:Cragg-Uhler/Nagelkerke}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.075}}}{space 1}
{space 0}{space 0}{ralign 24:Efron}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.019}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.069}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden (adj)}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.039}}}{space 1}
{space 0}{space 0}{ralign 24:McKelvey & Zavoina}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.225}}}{space 1}
{space 0}{space 0}{ralign 24:Tjur's D}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.018}}}{space 1}
{space 0}{hline 25}{c  BT}{hline 13}

{com}. margins, dydx(pss) at(party_age=(0(1)181)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     3,008
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 10}9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}12}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}14}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}15}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}17}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}18}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}19}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}22}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}23}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}24}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}26}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:28._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}27}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:29._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}28}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:30._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}29}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:31._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:32._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}31}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:33._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}32}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:34._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}33}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:35._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}34}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:36._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}35}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:37._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}36}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:38._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}37}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:39._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}38}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:40._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}39}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:41._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}40}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:42._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}41}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:43._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}42}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:44._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}43}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:45._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}44}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:46._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}45}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:47._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}46}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:48._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}47}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:49._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}48}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:50._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}49}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:51._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:52._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}51}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:53._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}52}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:54._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}53}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:55._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}54}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:56._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}55}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:57._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}56}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:58._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}57}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:59._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}58}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:60._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}59}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:61._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}60}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:62._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}61}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:63._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}62}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:64._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}63}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:65._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}64}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:66._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}65}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:67._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}66}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:68._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}67}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:69._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}68}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:70._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}69}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:71._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}70}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:72._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}71}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:73._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}72}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:74._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}73}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:75._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}74}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:76._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}75}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:77._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}76}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:78._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}77}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:79._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}78}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:80._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}79}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:81._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}80}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:82._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}81}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:83._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}82}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:84._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}83}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:85._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}84}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:86._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}85}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:87._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}86}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:88._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}87}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:89._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}88}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:90._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}89}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:91._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}90}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:92._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}91}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:93._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}92}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:94._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}93}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:95._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}94}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:96._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}95}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:97._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}96}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:98._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}97}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:99._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}98}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:100._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 9}99}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:101._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}100}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:102._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}101}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:103._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}102}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:104._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}103}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:105._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}104}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:106._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}105}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:107._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}106}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:108._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}107}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:109._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}108}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:110._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}109}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:111._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}110}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:112._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}111}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:113._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}112}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:114._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}113}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:115._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}114}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:116._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}115}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:117._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}116}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:118._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}117}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:119._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}118}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:120._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}119}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:121._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}120}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:122._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}121}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:123._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}122}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:124._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}123}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:125._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}124}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:126._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}125}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:127._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}126}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:128._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}127}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:129._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}128}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:130._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}129}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:131._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}130}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:132._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}131}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:133._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}132}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:134._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}133}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:135._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}134}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:136._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}135}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:137._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}136}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:138._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}137}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:139._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}138}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:140._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}139}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:141._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}140}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:142._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}141}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:143._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}142}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:144._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}143}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:145._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}144}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:146._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}145}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:147._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}146}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:148._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}147}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:149._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}148}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:150._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}149}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:151._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}150}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:152._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}151}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:153._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}152}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:154._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}153}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:155._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}154}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:156._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}155}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:157._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}156}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:158._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}157}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:159._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}158}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:160._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}159}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:161._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}160}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:162._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}161}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:163._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}162}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:164._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}163}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:165._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}164}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:166._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}165}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:167._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}166}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:168._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}167}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:169._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}168}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:170._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}169}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:171._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}170}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:172._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}171}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:173._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}172}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:174._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}173}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:175._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}174}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:176._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}175}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:177._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}176}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:178._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}177}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:179._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}178}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:180._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}179}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:181._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}180}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:182._at}:{space 1}{res:{txt:party_age}{space 7}{txt:=} {space 8}181}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}pss          {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.1552703{col 26}{space 2} .1228677{col 37}{space 1}   -1.26{col 46}{space 3}0.206{col 54}{space 4}-.3960865{col 67}{space 3} .0855459
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.1467173{col 26}{space 2} .1202105{col 37}{space 1}   -1.22{col 46}{space 3}0.222{col 54}{space 4}-.3823254{col 67}{space 3} .0888909
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.1381642{col 26}{space 2} .1176332{col 37}{space 1}   -1.17{col 46}{space 3}0.240{col 54}{space 4}-.3687211{col 67}{space 3} .0923926
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.1296112{col 26}{space 2} .1151413{col 37}{space 1}   -1.13{col 46}{space 3}0.260{col 54}{space 4} -.355284{col 67}{space 3} .0960615
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.1210582{col 26}{space 2} .1127403{col 37}{space 1}   -1.07{col 46}{space 3}0.283{col 54}{space 4}-.3420251{col 67}{space 3} .0999087
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1125052{col 26}{space 2} .1104362{col 37}{space 1}   -1.02{col 46}{space 3}0.308{col 54}{space 4}-.3289561{col 67}{space 3} .1039457
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.1039522{col 26}{space 2} .1082352{col 37}{space 1}   -0.96{col 46}{space 3}0.337{col 54}{space 4}-.3160892{col 67}{space 3} .1081848
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.0953992{col 26}{space 2} .1061436{col 37}{space 1}   -0.90{col 46}{space 3}0.369{col 54}{space 4}-.3034369{col 67}{space 3} .1126385
{txt}{space 10}9  {c |}{col 14}{res}{space 2}-.0868462{col 26}{space 2} .1041682{col 37}{space 1}   -0.83{col 46}{space 3}0.404{col 54}{space 4}-.2910121{col 67}{space 3} .1173198
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-.0782932{col 26}{space 2} .1023156{col 37}{space 1}   -0.77{col 46}{space 3}0.444{col 54}{space 4} -.278828{col 67}{space 3} .1222417
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0697401{col 26}{space 2} .1005926{col 37}{space 1}   -0.69{col 46}{space 3}0.488{col 54}{space 4} -.266898{col 67}{space 3} .1274177
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.0611871{col 26}{space 2} .0990059{col 37}{space 1}   -0.62{col 46}{space 3}0.537{col 54}{space 4}-.2552352{col 67}{space 3} .1328609
{txt}{space 9}13  {c |}{col 14}{res}{space 2}-.0526341{col 26}{space 2} .0975623{col 37}{space 1}   -0.54{col 46}{space 3}0.590{col 54}{space 4}-.2438527{col 67}{space 3} .1385845
{txt}{space 9}14  {c |}{col 14}{res}{space 2}-.0440811{col 26}{space 2} .0962681{col 37}{space 1}   -0.46{col 46}{space 3}0.647{col 54}{space 4}-.2327631{col 67}{space 3} .1446009
{txt}{space 9}15  {c |}{col 14}{res}{space 2}-.0355281{col 26}{space 2} .0951295{col 37}{space 1}   -0.37{col 46}{space 3}0.709{col 54}{space 4}-.2219785{col 67}{space 3} .1509223
{txt}{space 9}16  {c |}{col 14}{res}{space 2}-.0269751{col 26}{space 2} .0941521{col 37}{space 1}   -0.29{col 46}{space 3}0.774{col 54}{space 4}-.2115098{col 67}{space 3} .1575596
{txt}{space 9}17  {c |}{col 14}{res}{space 2}-.0184221{col 26}{space 2} .0933409{col 37}{space 1}   -0.20{col 46}{space 3}0.844{col 54}{space 4}-.2013669{col 67}{space 3} .1645228
{txt}{space 9}18  {c |}{col 14}{res}{space 2}-.0098691{col 26}{space 2} .0927004{col 37}{space 1}   -0.11{col 46}{space 3}0.915{col 54}{space 4}-.1915585{col 67}{space 3} .1718204
{txt}{space 9}19  {c |}{col 14}{res}{space 2} -.001316{col 26}{space 2}  .092234{col 37}{space 1}   -0.01{col 46}{space 3}0.989{col 54}{space 4}-.1820914{col 67}{space 3} .1794593
{txt}{space 9}20  {c |}{col 14}{res}{space 2}  .007237{col 26}{space 2} .0919445{col 37}{space 1}    0.08{col 46}{space 3}0.937{col 54}{space 4} -.172971{col 67}{space 3} .1874449
{txt}{space 9}21  {c |}{col 14}{res}{space 2}   .01579{col 26}{space 2} .0918335{col 37}{space 1}    0.17{col 46}{space 3}0.863{col 54}{space 4}-.1642004{col 67}{space 3} .1957803
{txt}{space 9}22  {c |}{col 14}{res}{space 2}  .024343{col 26}{space 2} .0919016{col 37}{space 1}    0.26{col 46}{space 3}0.791{col 54}{space 4}-.1557809{col 67}{space 3} .2044669
{txt}{space 9}23  {c |}{col 14}{res}{space 2}  .032896{col 26}{space 2} .0921485{col 37}{space 1}    0.36{col 46}{space 3}0.721{col 54}{space 4}-.1477118{col 67}{space 3} .2135038
{txt}{space 9}24  {c |}{col 14}{res}{space 2}  .041449{col 26}{space 2} .0925728{col 37}{space 1}    0.45{col 46}{space 3}0.654{col 54}{space 4}-.1399902{col 67}{space 3} .2228883
{txt}{space 9}25  {c |}{col 14}{res}{space 2}  .050002{col 26}{space 2} .0931719{col 37}{space 1}    0.54{col 46}{space 3}0.591{col 54}{space 4}-.1326115{col 67}{space 3} .2326156
{txt}{space 9}26  {c |}{col 14}{res}{space 2}  .058555{col 26}{space 2} .0939425{col 37}{space 1}    0.62{col 46}{space 3}0.533{col 54}{space 4} -.125569{col 67}{space 3} .2426791
{txt}{space 9}27  {c |}{col 14}{res}{space 2} .0671081{col 26}{space 2} .0948806{col 37}{space 1}    0.71{col 46}{space 3}0.479{col 54}{space 4}-.1188545{col 67}{space 3} .2530706
{txt}{space 9}28  {c |}{col 14}{res}{space 2} .0756611{col 26}{space 2} .0959811{col 37}{space 1}    0.79{col 46}{space 3}0.431{col 54}{space 4}-.1124585{col 67}{space 3} .2637806
{txt}{space 9}29  {c |}{col 14}{res}{space 2} .0842141{col 26}{space 2} .0972386{col 37}{space 1}    0.87{col 46}{space 3}0.386{col 54}{space 4}-.1063701{col 67}{space 3} .2747982
{txt}{space 9}30  {c |}{col 14}{res}{space 2} .0927671{col 26}{space 2}  .098647{col 37}{space 1}    0.94{col 46}{space 3}0.347{col 54}{space 4}-.1005775{col 67}{space 3} .2861117
{txt}{space 9}31  {c |}{col 14}{res}{space 2} .1013201{col 26}{space 2}    .1002{col 37}{space 1}    1.01{col 46}{space 3}0.312{col 54}{space 4}-.0950683{col 67}{space 3} .2977085
{txt}{space 9}32  {c |}{col 14}{res}{space 2} .1098731{col 26}{space 2}  .101891{col 37}{space 1}    1.08{col 46}{space 3}0.281{col 54}{space 4}-.0898296{col 67}{space 3} .3095758
{txt}{space 9}33  {c |}{col 14}{res}{space 2} .1184261{col 26}{space 2} .1037132{col 37}{space 1}    1.14{col 46}{space 3}0.254{col 54}{space 4} -.084848{col 67}{space 3} .3217003
{txt}{space 9}34  {c |}{col 14}{res}{space 2} .1269792{col 26}{space 2} .1056598{col 37}{space 1}    1.20{col 46}{space 3}0.229{col 54}{space 4}-.0801103{col 67}{space 3} .3340686
{txt}{space 9}35  {c |}{col 14}{res}{space 2} .1355322{col 26}{space 2} .1077242{col 37}{space 1}    1.26{col 46}{space 3}0.208{col 54}{space 4}-.0756034{col 67}{space 3} .3466677
{txt}{space 9}36  {c |}{col 14}{res}{space 2} .1440852{col 26}{space 2} .1098996{col 37}{space 1}    1.31{col 46}{space 3}0.190{col 54}{space 4} -.071314{col 67}{space 3} .3594844
{txt}{space 9}37  {c |}{col 14}{res}{space 2} .1526382{col 26}{space 2} .1121796{col 37}{space 1}    1.36{col 46}{space 3}0.174{col 54}{space 4}-.0672297{col 67}{space 3} .3725061
{txt}{space 9}38  {c |}{col 14}{res}{space 2} .1611912{col 26}{space 2} .1145579{col 37}{space 1}    1.41{col 46}{space 3}0.159{col 54}{space 4}-.0633382{col 67}{space 3} .3857206
{txt}{space 9}39  {c |}{col 14}{res}{space 2} .1697442{col 26}{space 2} .1170286{col 37}{space 1}    1.45{col 46}{space 3}0.147{col 54}{space 4}-.0596276{col 67}{space 3} .3991161
{txt}{space 9}40  {c |}{col 14}{res}{space 2} .1782972{col 26}{space 2} .1195859{col 37}{space 1}    1.49{col 46}{space 3}0.136{col 54}{space 4}-.0560869{col 67}{space 3} .4126814
{txt}{space 9}41  {c |}{col 14}{res}{space 2} .1868502{col 26}{space 2} .1222245{col 37}{space 1}    1.53{col 46}{space 3}0.126{col 54}{space 4}-.0527053{col 67}{space 3} .4264058
{txt}{space 9}42  {c |}{col 14}{res}{space 2} .1954033{col 26}{space 2}  .124939{col 37}{space 1}    1.56{col 46}{space 3}0.118{col 54}{space 4}-.0494728{col 67}{space 3} .4402793
{txt}{space 9}43  {c |}{col 14}{res}{space 2} .2039563{col 26}{space 2} .1277248{col 37}{space 1}    1.60{col 46}{space 3}0.110{col 54}{space 4}-.0463798{col 67}{space 3} .4542923
{txt}{space 9}44  {c |}{col 14}{res}{space 2} .2125093{col 26}{space 2} .1305772{col 37}{space 1}    1.63{col 46}{space 3}0.104{col 54}{space 4}-.0434174{col 67}{space 3}  .468436
{txt}{space 9}45  {c |}{col 14}{res}{space 2} .2210623{col 26}{space 2}  .133492{col 37}{space 1}    1.66{col 46}{space 3}0.098{col 54}{space 4}-.0405773{col 67}{space 3} .4827019
{txt}{space 9}46  {c |}{col 14}{res}{space 2} .2296153{col 26}{space 2} .1364652{col 37}{space 1}    1.68{col 46}{space 3}0.092{col 54}{space 4}-.0378516{col 67}{space 3} .4970822
{txt}{space 9}47  {c |}{col 14}{res}{space 2} .2381683{col 26}{space 2}  .139493{col 37}{space 1}    1.71{col 46}{space 3}0.088{col 54}{space 4} -.035233{col 67}{space 3} .5115696
{txt}{space 9}48  {c |}{col 14}{res}{space 2} .2467213{col 26}{space 2}  .142572{col 37}{space 1}    1.73{col 46}{space 3}0.084{col 54}{space 4}-.0327147{col 67}{space 3} .5261573
{txt}{space 9}49  {c |}{col 14}{res}{space 2} .2552743{col 26}{space 2} .1456989{col 37}{space 1}    1.75{col 46}{space 3}0.080{col 54}{space 4}-.0302903{col 67}{space 3} .5408389
{txt}{space 9}50  {c |}{col 14}{res}{space 2} .2638274{col 26}{space 2} .1488707{col 37}{space 1}    1.77{col 46}{space 3}0.076{col 54}{space 4}-.0279539{col 67}{space 3} .5556086
{txt}{space 9}51  {c |}{col 14}{res}{space 2} .2723804{col 26}{space 2} .1520846{col 37}{space 1}    1.79{col 46}{space 3}0.073{col 54}{space 4}-.0256999{col 67}{space 3} .5704607
{txt}{space 9}52  {c |}{col 14}{res}{space 2} .2809334{col 26}{space 2} .1553379{col 37}{space 1}    1.81{col 46}{space 3}0.071{col 54}{space 4}-.0235234{col 67}{space 3} .5853902
{txt}{space 9}53  {c |}{col 14}{res}{space 2} .2894864{col 26}{space 2} .1586284{col 37}{space 1}    1.82{col 46}{space 3}0.068{col 54}{space 4}-.0214195{col 67}{space 3} .6003923
{txt}{space 9}54  {c |}{col 14}{res}{space 2} .2980394{col 26}{space 2} .1619536{col 37}{space 1}    1.84{col 46}{space 3}0.066{col 54}{space 4}-.0193837{col 67}{space 3} .6154625
{txt}{space 9}55  {c |}{col 14}{res}{space 2} .3065924{col 26}{space 2} .1653114{col 37}{space 1}    1.85{col 46}{space 3}0.064{col 54}{space 4}-.0174121{col 67}{space 3} .6305969
{txt}{space 9}56  {c |}{col 14}{res}{space 2} .3151454{col 26}{space 2} .1687001{col 37}{space 1}    1.87{col 46}{space 3}0.062{col 54}{space 4}-.0155007{col 67}{space 3} .6457915
{txt}{space 9}57  {c |}{col 14}{res}{space 2} .3236984{col 26}{space 2} .1721176{col 37}{space 1}    1.88{col 46}{space 3}0.060{col 54}{space 4}-.0136459{col 67}{space 3} .6610428
{txt}{space 9}58  {c |}{col 14}{res}{space 2} .3322515{col 26}{space 2} .1755624{col 37}{space 1}    1.89{col 46}{space 3}0.058{col 54}{space 4}-.0118446{col 67}{space 3} .6763475
{txt}{space 9}59  {c |}{col 14}{res}{space 2} .3408045{col 26}{space 2} .1790329{col 37}{space 1}    1.90{col 46}{space 3}0.057{col 54}{space 4}-.0100935{col 67}{space 3} .6917024
{txt}{space 9}60  {c |}{col 14}{res}{space 2} .3493575{col 26}{space 2} .1825275{col 37}{space 1}    1.91{col 46}{space 3}0.056{col 54}{space 4}-.0083899{col 67}{space 3} .7071048
{txt}{space 9}61  {c |}{col 14}{res}{space 2} .3579105{col 26}{space 2}  .186045{col 37}{space 1}    1.92{col 46}{space 3}0.054{col 54}{space 4} -.006731{col 67}{space 3}  .722552
{txt}{space 9}62  {c |}{col 14}{res}{space 2} .3664635{col 26}{space 2} .1895841{col 37}{space 1}    1.93{col 46}{space 3}0.053{col 54}{space 4}-.0051144{col 67}{space 3} .7380414
{txt}{space 9}63  {c |}{col 14}{res}{space 2} .3750165{col 26}{space 2} .1931435{col 37}{space 1}    1.94{col 46}{space 3}0.052{col 54}{space 4}-.0035378{col 67}{space 3} .7535708
{txt}{space 9}64  {c |}{col 14}{res}{space 2} .3835695{col 26}{space 2} .1967222{col 37}{space 1}    1.95{col 46}{space 3}0.051{col 54}{space 4}-.0019989{col 67}{space 3} .7691379
{txt}{space 9}65  {c |}{col 14}{res}{space 2} .3921225{col 26}{space 2} .2003191{col 37}{space 1}    1.96{col 46}{space 3}0.050{col 54}{space 4}-.0004957{col 67}{space 3} .7847408
{txt}{space 9}66  {c |}{col 14}{res}{space 2} .4006756{col 26}{space 2} .2039333{col 37}{space 1}    1.96{col 46}{space 3}0.049{col 54}{space 4} .0009736{col 67}{space 3} .8003775
{txt}{space 9}67  {c |}{col 14}{res}{space 2} .4092286{col 26}{space 2} .2075639{col 37}{space 1}    1.97{col 46}{space 3}0.049{col 54}{space 4} .0024108{col 67}{space 3} .8160464
{txt}{space 9}68  {c |}{col 14}{res}{space 2} .4177816{col 26}{space 2}   .21121{col 37}{space 1}    1.98{col 46}{space 3}0.048{col 54}{space 4} .0038175{col 67}{space 3} .8317456
{txt}{space 9}69  {c |}{col 14}{res}{space 2} .4263346{col 26}{space 2} .2148709{col 37}{space 1}    1.98{col 46}{space 3}0.047{col 54}{space 4} .0051954{col 67}{space 3} .8474738
{txt}{space 9}70  {c |}{col 14}{res}{space 2} .4348876{col 26}{space 2} .2185457{col 37}{space 1}    1.99{col 46}{space 3}0.047{col 54}{space 4} .0065459{col 67}{space 3} .8632294
{txt}{space 9}71  {c |}{col 14}{res}{space 2} .4434406{col 26}{space 2} .2222339{col 37}{space 1}    2.00{col 46}{space 3}0.046{col 54}{space 4} .0078702{col 67}{space 3}  .879011
{txt}{space 9}72  {c |}{col 14}{res}{space 2} .4519936{col 26}{space 2} .2259347{col 37}{space 1}    2.00{col 46}{space 3}0.045{col 54}{space 4} .0091698{col 67}{space 3} .8948174
{txt}{space 9}73  {c |}{col 14}{res}{space 2} .4605466{col 26}{space 2} .2296475{col 37}{space 1}    2.01{col 46}{space 3}0.045{col 54}{space 4} .0104458{col 67}{space 3} .9106475
{txt}{space 9}74  {c |}{col 14}{res}{space 2} .4690997{col 26}{space 2} .2333718{col 37}{space 1}    2.01{col 46}{space 3}0.044{col 54}{space 4} .0116993{col 67}{space 3}    .9265
{txt}{space 9}75  {c |}{col 14}{res}{space 2} .4776527{col 26}{space 2}  .237107{col 37}{space 1}    2.01{col 46}{space 3}0.044{col 54}{space 4} .0129314{col 67}{space 3} .9423739
{txt}{space 9}76  {c |}{col 14}{res}{space 2} .4862057{col 26}{space 2} .2408527{col 37}{space 1}    2.02{col 46}{space 3}0.044{col 54}{space 4} .0141431{col 67}{space 3} .9582683
{txt}{space 9}77  {c |}{col 14}{res}{space 2} .4947587{col 26}{space 2} .2446083{col 37}{space 1}    2.02{col 46}{space 3}0.043{col 54}{space 4} .0153353{col 67}{space 3} .9741821
{txt}{space 9}78  {c |}{col 14}{res}{space 2} .5033117{col 26}{space 2} .2483733{col 37}{space 1}    2.03{col 46}{space 3}0.043{col 54}{space 4} .0165089{col 67}{space 3} .9901145
{txt}{space 9}79  {c |}{col 14}{res}{space 2} .5118647{col 26}{space 2} .2521475{col 37}{space 1}    2.03{col 46}{space 3}0.042{col 54}{space 4} .0176648{col 67}{space 3} 1.006065
{txt}{space 9}80  {c |}{col 14}{res}{space 2} .5204177{col 26}{space 2} .2559303{col 37}{space 1}    2.03{col 46}{space 3}0.042{col 54}{space 4} .0188037{col 67}{space 3} 1.022032
{txt}{space 9}81  {c |}{col 14}{res}{space 2} .5289707{col 26}{space 2} .2597213{col 37}{space 1}    2.04{col 46}{space 3}0.042{col 54}{space 4} .0199263{col 67}{space 3} 1.038015
{txt}{space 9}82  {c |}{col 14}{res}{space 2} .5375238{col 26}{space 2} .2635203{col 37}{space 1}    2.04{col 46}{space 3}0.041{col 54}{space 4} .0210334{col 67}{space 3} 1.054014
{txt}{space 9}83  {c |}{col 14}{res}{space 2} .5460768{col 26}{space 2} .2673269{col 37}{space 1}    2.04{col 46}{space 3}0.041{col 54}{space 4} .0221257{col 67}{space 3} 1.070028
{txt}{space 9}84  {c |}{col 14}{res}{space 2} .5546298{col 26}{space 2} .2711408{col 37}{space 1}    2.05{col 46}{space 3}0.041{col 54}{space 4} .0232037{col 67}{space 3} 1.086056
{txt}{space 9}85  {c |}{col 14}{res}{space 2} .5631828{col 26}{space 2} .2749616{col 37}{space 1}    2.05{col 46}{space 3}0.041{col 54}{space 4}  .024268{col 67}{space 3} 1.102098
{txt}{space 9}86  {c |}{col 14}{res}{space 2} .5717358{col 26}{space 2} .2787891{col 37}{space 1}    2.05{col 46}{space 3}0.040{col 54}{space 4} .0253193{col 67}{space 3} 1.118152
{txt}{space 9}87  {c |}{col 14}{res}{space 2} .5802888{col 26}{space 2}  .282623{col 37}{space 1}    2.05{col 46}{space 3}0.040{col 54}{space 4}  .026358{col 67}{space 3}  1.13422
{txt}{space 9}88  {c |}{col 14}{res}{space 2} .5888418{col 26}{space 2}  .286463{col 37}{space 1}    2.06{col 46}{space 3}0.040{col 54}{space 4} .0273846{col 67}{space 3} 1.150299
{txt}{space 9}89  {c |}{col 14}{res}{space 2} .5973948{col 26}{space 2}  .290309{col 37}{space 1}    2.06{col 46}{space 3}0.040{col 54}{space 4} .0283997{col 67}{space 3}  1.16639
{txt}{space 9}90  {c |}{col 14}{res}{space 2} .6059479{col 26}{space 2} .2941606{col 37}{space 1}    2.06{col 46}{space 3}0.039{col 54}{space 4} .0294036{col 67}{space 3} 1.182492
{txt}{space 9}91  {c |}{col 14}{res}{space 2} .6145009{col 26}{space 2} .2980177{col 37}{space 1}    2.06{col 46}{space 3}0.039{col 54}{space 4} .0303969{col 67}{space 3} 1.198605
{txt}{space 9}92  {c |}{col 14}{res}{space 2} .6230539{col 26}{space 2} .3018801{col 37}{space 1}    2.06{col 46}{space 3}0.039{col 54}{space 4} .0313798{col 67}{space 3} 1.214728
{txt}{space 9}93  {c |}{col 14}{res}{space 2} .6316069{col 26}{space 2} .3057474{col 37}{space 1}    2.07{col 46}{space 3}0.039{col 54}{space 4} .0323529{col 67}{space 3} 1.230861
{txt}{space 9}94  {c |}{col 14}{res}{space 2} .6401599{col 26}{space 2} .3096197{col 37}{space 1}    2.07{col 46}{space 3}0.039{col 54}{space 4} .0333165{col 67}{space 3} 1.247003
{txt}{space 9}95  {c |}{col 14}{res}{space 2} .6487129{col 26}{space 2} .3134966{col 37}{space 1}    2.07{col 46}{space 3}0.039{col 54}{space 4} .0342709{col 67}{space 3} 1.263155
{txt}{space 9}96  {c |}{col 14}{res}{space 2} .6572659{col 26}{space 2}  .317378{col 37}{space 1}    2.07{col 46}{space 3}0.038{col 54}{space 4} .0352164{col 67}{space 3} 1.279315
{txt}{space 9}97  {c |}{col 14}{res}{space 2} .6658189{col 26}{space 2} .3212638{col 37}{space 1}    2.07{col 46}{space 3}0.038{col 54}{space 4} .0361535{col 67}{space 3} 1.295484
{txt}{space 9}98  {c |}{col 14}{res}{space 2}  .674372{col 26}{space 2} .3251537{col 37}{space 1}    2.07{col 46}{space 3}0.038{col 54}{space 4} .0370823{col 67}{space 3} 1.311662
{txt}{space 9}99  {c |}{col 14}{res}{space 2}  .682925{col 26}{space 2} .3290477{col 37}{space 1}    2.08{col 46}{space 3}0.038{col 54}{space 4} .0380033{col 67}{space 3} 1.327847
{txt}{space 8}100  {c |}{col 14}{res}{space 2}  .691478{col 26}{space 2} .3329456{col 37}{space 1}    2.08{col 46}{space 3}0.038{col 54}{space 4} .0389166{col 67}{space 3} 1.344039
{txt}{space 8}101  {c |}{col 14}{res}{space 2}  .700031{col 26}{space 2} .3368473{col 37}{space 1}    2.08{col 46}{space 3}0.038{col 54}{space 4} .0398225{col 67}{space 3}  1.36024
{txt}{space 8}102  {c |}{col 14}{res}{space 2}  .708584{col 26}{space 2} .3407526{col 37}{space 1}    2.08{col 46}{space 3}0.038{col 54}{space 4} .0407213{col 67}{space 3} 1.376447
{txt}{space 8}103  {c |}{col 14}{res}{space 2}  .717137{col 26}{space 2} .3446613{col 37}{space 1}    2.08{col 46}{space 3}0.037{col 54}{space 4} .0416132{col 67}{space 3} 1.392661
{txt}{space 8}104  {c |}{col 14}{res}{space 2}   .72569{col 26}{space 2} .3485735{col 37}{space 1}    2.08{col 46}{space 3}0.037{col 54}{space 4} .0424985{col 67}{space 3} 1.408882
{txt}{space 8}105  {c |}{col 14}{res}{space 2}  .734243{col 26}{space 2}  .352489{col 37}{space 1}    2.08{col 46}{space 3}0.037{col 54}{space 4} .0433773{col 67}{space 3} 1.425109
{txt}{space 8}106  {c |}{col 14}{res}{space 2} .7427961{col 26}{space 2} .3564076{col 37}{space 1}    2.08{col 46}{space 3}0.037{col 54}{space 4}   .04425{col 67}{space 3} 1.441342
{txt}{space 8}107  {c |}{col 14}{res}{space 2} .7513491{col 26}{space 2} .3603293{col 37}{space 1}    2.09{col 46}{space 3}0.037{col 54}{space 4} .0451166{col 67}{space 3} 1.457582
{txt}{space 8}108  {c |}{col 14}{res}{space 2} .7599021{col 26}{space 2}  .364254{col 37}{space 1}    2.09{col 46}{space 3}0.037{col 54}{space 4} .0459774{col 67}{space 3} 1.473827
{txt}{space 8}109  {c |}{col 14}{res}{space 2} .7684551{col 26}{space 2} .3681815{col 37}{space 1}    2.09{col 46}{space 3}0.037{col 54}{space 4} .0468326{col 67}{space 3} 1.490078
{txt}{space 8}110  {c |}{col 14}{res}{space 2} .7770081{col 26}{space 2} .3721118{col 37}{space 1}    2.09{col 46}{space 3}0.037{col 54}{space 4} .0476823{col 67}{space 3} 1.506334
{txt}{space 8}111  {c |}{col 14}{res}{space 2} .7855611{col 26}{space 2} .3760449{col 37}{space 1}    2.09{col 46}{space 3}0.037{col 54}{space 4} .0485268{col 67}{space 3} 1.522595
{txt}{space 8}112  {c |}{col 14}{res}{space 2} .7941141{col 26}{space 2} .3799805{col 37}{space 1}    2.09{col 46}{space 3}0.037{col 54}{space 4} .0493661{col 67}{space 3} 1.538862
{txt}{space 8}113  {c |}{col 14}{res}{space 2} .8026671{col 26}{space 2} .3839186{col 37}{space 1}    2.09{col 46}{space 3}0.037{col 54}{space 4} .0502005{col 67}{space 3} 1.555134
{txt}{space 8}114  {c |}{col 14}{res}{space 2} .8112202{col 26}{space 2} .3878592{col 37}{space 1}    2.09{col 46}{space 3}0.036{col 54}{space 4}   .05103{col 67}{space 3}  1.57141
{txt}{space 8}115  {c |}{col 14}{res}{space 2} .8197732{col 26}{space 2} .3918022{col 37}{space 1}    2.09{col 46}{space 3}0.036{col 54}{space 4} .0518549{col 67}{space 3} 1.587691
{txt}{space 8}116  {c |}{col 14}{res}{space 2} .8283262{col 26}{space 2} .3957475{col 37}{space 1}    2.09{col 46}{space 3}0.036{col 54}{space 4} .0526753{col 67}{space 3} 1.603977
{txt}{space 8}117  {c |}{col 14}{res}{space 2} .8368792{col 26}{space 2} .3996951{col 37}{space 1}    2.09{col 46}{space 3}0.036{col 54}{space 4} .0534913{col 67}{space 3} 1.620267
{txt}{space 8}118  {c |}{col 14}{res}{space 2} .8454322{col 26}{space 2} .4036448{col 37}{space 1}    2.09{col 46}{space 3}0.036{col 54}{space 4}  .054303{col 67}{space 3} 1.636561
{txt}{space 8}119  {c |}{col 14}{res}{space 2} .8539852{col 26}{space 2} .4075966{col 37}{space 1}    2.10{col 46}{space 3}0.036{col 54}{space 4} .0551106{col 67}{space 3}  1.65286
{txt}{space 8}120  {c |}{col 14}{res}{space 2} .8625382{col 26}{space 2} .4115505{col 37}{space 1}    2.10{col 46}{space 3}0.036{col 54}{space 4} .0559142{col 67}{space 3} 1.669162
{txt}{space 8}121  {c |}{col 14}{res}{space 2} .8710912{col 26}{space 2} .4155063{col 37}{space 1}    2.10{col 46}{space 3}0.036{col 54}{space 4} .0567138{col 67}{space 3} 1.685469
{txt}{space 8}122  {c |}{col 14}{res}{space 2} .8796443{col 26}{space 2} .4194641{col 37}{space 1}    2.10{col 46}{space 3}0.036{col 54}{space 4} .0575097{col 67}{space 3} 1.701779
{txt}{space 8}123  {c |}{col 14}{res}{space 2} .8881973{col 26}{space 2} .4234238{col 37}{space 1}    2.10{col 46}{space 3}0.036{col 54}{space 4} .0583019{col 67}{space 3} 1.718093
{txt}{space 8}124  {c |}{col 14}{res}{space 2} .8967503{col 26}{space 2} .4273853{col 37}{space 1}    2.10{col 46}{space 3}0.036{col 54}{space 4} .0590905{col 67}{space 3}  1.73441
{txt}{space 8}125  {c |}{col 14}{res}{space 2} .9053033{col 26}{space 2} .4313486{col 37}{space 1}    2.10{col 46}{space 3}0.036{col 54}{space 4} .0598756{col 67}{space 3} 1.750731
{txt}{space 8}126  {c |}{col 14}{res}{space 2} .9138563{col 26}{space 2} .4353136{col 37}{space 1}    2.10{col 46}{space 3}0.036{col 54}{space 4} .0606573{col 67}{space 3} 1.767055
{txt}{space 8}127  {c |}{col 14}{res}{space 2} .9224093{col 26}{space 2} .4392803{col 37}{space 1}    2.10{col 46}{space 3}0.036{col 54}{space 4} .0614358{col 67}{space 3} 1.783383
{txt}{space 8}128  {c |}{col 14}{res}{space 2} .9309623{col 26}{space 2} .4432486{col 37}{space 1}    2.10{col 46}{space 3}0.036{col 54}{space 4}  .062211{col 67}{space 3} 1.799714
{txt}{space 8}129  {c |}{col 14}{res}{space 2} .9395153{col 26}{space 2} .4472186{col 37}{space 1}    2.10{col 46}{space 3}0.036{col 54}{space 4} .0629831{col 67}{space 3} 1.816048
{txt}{space 8}130  {c |}{col 14}{res}{space 2} .9480684{col 26}{space 2} .4511901{col 37}{space 1}    2.10{col 46}{space 3}0.036{col 54}{space 4} .0637521{col 67}{space 3} 1.832385
{txt}{space 8}131  {c |}{col 14}{res}{space 2} .9566214{col 26}{space 2}  .455163{col 37}{space 1}    2.10{col 46}{space 3}0.036{col 54}{space 4} .0645182{col 67}{space 3} 1.848725
{txt}{space 8}132  {c |}{col 14}{res}{space 2} .9651744{col 26}{space 2} .4591375{col 37}{space 1}    2.10{col 46}{space 3}0.036{col 54}{space 4} .0652814{col 67}{space 3} 1.865067
{txt}{space 8}133  {c |}{col 14}{res}{space 2} .9737274{col 26}{space 2} .4631134{col 37}{space 1}    2.10{col 46}{space 3}0.036{col 54}{space 4} .0660418{col 67}{space 3} 1.881413
{txt}{space 8}134  {c |}{col 14}{res}{space 2} .9822804{col 26}{space 2} .4670907{col 37}{space 1}    2.10{col 46}{space 3}0.035{col 54}{space 4} .0667994{col 67}{space 3} 1.897761
{txt}{space 8}135  {c |}{col 14}{res}{space 2} .9908334{col 26}{space 2} .4710694{col 37}{space 1}    2.10{col 46}{space 3}0.035{col 54}{space 4} .0675544{col 67}{space 3} 1.914112
{txt}{space 8}136  {c |}{col 14}{res}{space 2} .9993864{col 26}{space 2} .4750494{col 37}{space 1}    2.10{col 46}{space 3}0.035{col 54}{space 4} .0683068{col 67}{space 3} 1.930466
{txt}{space 8}137  {c |}{col 14}{res}{space 2} 1.007939{col 26}{space 2} .4790306{col 37}{space 1}    2.10{col 46}{space 3}0.035{col 54}{space 4} .0690567{col 67}{space 3} 1.946822
{txt}{space 8}138  {c |}{col 14}{res}{space 2} 1.016492{col 26}{space 2} .4830132{col 37}{space 1}    2.10{col 46}{space 3}0.035{col 54}{space 4}  .069804{col 67}{space 3} 1.963181
{txt}{space 8}139  {c |}{col 14}{res}{space 2} 1.025045{col 26}{space 2}  .486997{col 37}{space 1}    2.10{col 46}{space 3}0.035{col 54}{space 4}  .070549{col 67}{space 3} 1.979542
{txt}{space 8}140  {c |}{col 14}{res}{space 2} 1.033598{col 26}{space 2} .4909819{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0712916{col 67}{space 3} 1.995905
{txt}{space 8}141  {c |}{col 14}{res}{space 2} 1.042152{col 26}{space 2} .4949681{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0720319{col 67}{space 3} 2.012271
{txt}{space 8}142  {c |}{col 14}{res}{space 2} 1.050705{col 26}{space 2} .4989554{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0727699{col 67}{space 3} 2.028639
{txt}{space 8}143  {c |}{col 14}{res}{space 2} 1.059258{col 26}{space 2} .5029438{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0735058{col 67}{space 3} 2.045009
{txt}{space 8}144  {c |}{col 14}{res}{space 2} 1.067811{col 26}{space 2} .5069333{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0742395{col 67}{space 3} 2.061382
{txt}{space 8}145  {c |}{col 14}{res}{space 2} 1.076364{col 26}{space 2} .5109239{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0749711{col 67}{space 3} 2.077756
{txt}{space 8}146  {c |}{col 14}{res}{space 2} 1.084917{col 26}{space 2} .5149155{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0757007{col 67}{space 3} 2.094132
{txt}{space 8}147  {c |}{col 14}{res}{space 2}  1.09347{col 26}{space 2} .5189081{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0764283{col 67}{space 3} 2.110511
{txt}{space 8}148  {c |}{col 14}{res}{space 2} 1.102023{col 26}{space 2} .5229018{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4}  .077154{col 67}{space 3} 2.126891
{txt}{space 8}149  {c |}{col 14}{res}{space 2} 1.110576{col 26}{space 2} .5268963{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0778777{col 67}{space 3} 2.143273
{txt}{space 8}150  {c |}{col 14}{res}{space 2} 1.119129{col 26}{space 2} .5308919{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0785996{col 67}{space 3} 2.159658
{txt}{space 8}151  {c |}{col 14}{res}{space 2} 1.127682{col 26}{space 2} .5348884{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0793197{col 67}{space 3} 2.176044
{txt}{space 8}152  {c |}{col 14}{res}{space 2} 1.136235{col 26}{space 2} .5388857{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4}  .080038{col 67}{space 3} 2.192431
{txt}{space 8}153  {c |}{col 14}{res}{space 2} 1.144788{col 26}{space 2}  .542884{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0807546{col 67}{space 3} 2.208821
{txt}{space 8}154  {c |}{col 14}{res}{space 2} 1.153341{col 26}{space 2} .5468831{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0814694{col 67}{space 3} 2.225212
{txt}{space 8}155  {c |}{col 14}{res}{space 2} 1.161894{col 26}{space 2} .5508831{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0821826{col 67}{space 3} 2.241605
{txt}{space 8}156  {c |}{col 14}{res}{space 2} 1.170447{col 26}{space 2} .5548839{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0828942{col 67}{space 3} 2.257999
{txt}{space 8}157  {c |}{col 14}{res}{space 2}    1.179{col 26}{space 2} .5588856{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0836041{col 67}{space 3} 2.274395
{txt}{space 8}158  {c |}{col 14}{res}{space 2} 1.187553{col 26}{space 2}  .562888{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0843126{col 67}{space 3} 2.290793
{txt}{space 8}159  {c |}{col 14}{res}{space 2} 1.196106{col 26}{space 2} .5668912{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0850194{col 67}{space 3} 2.307192
{txt}{space 8}160  {c |}{col 14}{res}{space 2} 1.204659{col 26}{space 2} .5708951{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0857248{col 67}{space 3} 2.323593
{txt}{space 8}161  {c |}{col 14}{res}{space 2} 1.213212{col 26}{space 2} .5748998{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0864288{col 67}{space 3} 2.339995
{txt}{space 8}162  {c |}{col 14}{res}{space 2} 1.221765{col 26}{space 2} .5789053{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0871313{col 67}{space 3} 2.356398
{txt}{space 8}163  {c |}{col 14}{res}{space 2} 1.230318{col 26}{space 2} .5829114{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0878324{col 67}{space 3} 2.372803
{txt}{space 8}164  {c |}{col 14}{res}{space 2} 1.238871{col 26}{space 2} .5869183{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0885321{col 67}{space 3} 2.389209
{txt}{space 8}165  {c |}{col 14}{res}{space 2} 1.247424{col 26}{space 2} .5909258{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0892305{col 67}{space 3} 2.405617
{txt}{space 8}166  {c |}{col 14}{res}{space 2} 1.255977{col 26}{space 2}  .594934{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0899275{col 67}{space 3} 2.422026
{txt}{space 8}167  {c |}{col 14}{res}{space 2}  1.26453{col 26}{space 2} .5989429{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0906233{col 67}{space 3} 2.438436
{txt}{space 8}168  {c |}{col 14}{res}{space 2} 1.273083{col 26}{space 2} .6029524{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0913178{col 67}{space 3} 2.454848
{txt}{space 8}169  {c |}{col 14}{res}{space 2} 1.281636{col 26}{space 2} .6069626{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0920111{col 67}{space 3} 2.471261
{txt}{space 8}170  {c |}{col 14}{res}{space 2} 1.290189{col 26}{space 2} .6109733{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0927031{col 67}{space 3} 2.487675
{txt}{space 8}171  {c |}{col 14}{res}{space 2} 1.298742{col 26}{space 2} .6149847{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4}  .093394{col 67}{space 3}  2.50409
{txt}{space 8}172  {c |}{col 14}{res}{space 2} 1.307295{col 26}{space 2} .6189967{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0940836{col 67}{space 3} 2.520506
{txt}{space 8}173  {c |}{col 14}{res}{space 2} 1.315848{col 26}{space 2} .6230093{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0947722{col 67}{space 3} 2.536924
{txt}{space 8}174  {c |}{col 14}{res}{space 2} 1.324401{col 26}{space 2} .6270224{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0954596{col 67}{space 3} 2.553342
{txt}{space 8}175  {c |}{col 14}{res}{space 2} 1.332954{col 26}{space 2} .6310361{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0961459{col 67}{space 3} 2.569762
{txt}{space 8}176  {c |}{col 14}{res}{space 2} 1.341507{col 26}{space 2} .6350504{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0968311{col 67}{space 3} 2.586183
{txt}{space 8}177  {c |}{col 14}{res}{space 2}  1.35006{col 26}{space 2} .6390652{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0975153{col 67}{space 3} 2.602605
{txt}{space 8}178  {c |}{col 14}{res}{space 2} 1.358613{col 26}{space 2} .6430805{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0981984{col 67}{space 3} 2.619028
{txt}{space 8}179  {c |}{col 14}{res}{space 2} 1.367166{col 26}{space 2} .6470963{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0988805{col 67}{space 3} 2.635451
{txt}{space 8}180  {c |}{col 14}{res}{space 2} 1.375719{col 26}{space 2} .6511127{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .0995616{col 67}{space 3} 2.651876
{txt}{space 8}181  {c |}{col 14}{res}{space 2} 1.384272{col 26}{space 2} .6551296{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .1002417{col 67}{space 3} 2.668302
{txt}{space 8}182  {c |}{col 14}{res}{space 2} 1.392825{col 26}{space 2} .6591469{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4} .1009208{col 67}{space 3} 2.684729
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. gen xyz=1 if e(sample)==1
{txt}(925 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 0 181 182
{txt}(3,751 missing values generated)

{com}. 
. twoway hist party_age if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Party age",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of party system saturation", size(medsmall) axis(1)) ///
> legend(off)  graphregion(color(white)) name(a, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. 
. firthlogit merger c.pss##c.vote_share party_age norepres2 opposition office_exp alliance_exp 
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-201.60551}
rescale:{col 16}penalized log likelihood = {res:-201.60551}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-201.60551}  
Iteration 1:{space 3}penalized log likelihood = {res:-189.68219}  
Iteration 2:{space 3}penalized log likelihood = {res:-186.00754}  
Iteration 3:{space 3}penalized log likelihood = {res: -185.5754}  
Iteration 4:{space 3}penalized log likelihood = {res:-185.56789}  
Iteration 5:{space 3}penalized log likelihood = {res:-185.56788}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     2,811
{txt}{col 49}Wald chi2({res}8{txt}){col 67}= {res}     17.11
{txt}Penalized log likelihood = {res}-185.56788{txt}{col 49}Prob > chi2{col 67}= {res}    0.0290

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            merger{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}pss {c |}{col 20}{res}{space 2} -.122694{col 32}{space 2} .1460539{col 43}{space 1}   -0.84{col 52}{space 3}0.401{col 60}{space 4}-.4089543{col 73}{space 3} .1635664
{txt}{space 8}vote_share {c |}{col 20}{res}{space 2}-.0938517{col 32}{space 2} .0384307{col 43}{space 1}   -2.44{col 52}{space 3}0.015{col 60}{space 4}-.1691745{col 73}{space 3}-.0185289
{txt}{space 18} {c |}
c.pss#c.vote_share {c |}{col 20}{res}{space 2} .0222332{col 32}{space 2} .0228896{col 43}{space 1}    0.97{col 52}{space 3}0.331{col 60}{space 4}-.0226296{col 73}{space 3} .0670959
{txt}{space 18} {c |}
{space 9}party_age {c |}{col 20}{res}{space 2}-.0172815{col 32}{space 2} .0074777{col 43}{space 1}   -2.31{col 52}{space 3}0.021{col 60}{space 4}-.0319376{col 73}{space 3}-.0026255
{txt}{space 9}norepres2 {c |}{col 20}{res}{space 2}-.0523993{col 32}{space 2} .3723581{col 43}{space 1}   -0.14{col 52}{space 3}0.888{col 60}{space 4}-.7822078{col 73}{space 3} .6774092
{txt}{space 8}opposition {c |}{col 20}{res}{space 2} 1.012823{col 32}{space 2} .7314355{col 43}{space 1}    1.38{col 52}{space 3}0.166{col 60}{space 4}-.4207646{col 73}{space 3}  2.44641
{txt}{space 8}office_exp {c |}{col 20}{res}{space 2} 1.512513{col 32}{space 2} .8281128{col 43}{space 1}    1.83{col 52}{space 3}0.068{col 60}{space 4}-.1105582{col 73}{space 3} 3.135585
{txt}{space 6}alliance_exp {c |}{col 20}{res}{space 2} .6443694{col 32}{space 2} .5874726{col 43}{space 1}    1.10{col 52}{space 3}0.273{col 60}{space 4}-.5070557{col 73}{space 3} 1.795794
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} -4.21354{col 32}{space 2} .7832944{col 43}{space 1}   -5.38{col 52}{space 3}0.000{col 60}{space 4}-5.748769{col 73}{space 3}-2.678311
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. tab merger if e(sample)==1

      {txt}Party {c |}
     merges {c |}
      after {c |}
 election t {c |}
  (based on {c |}
  data from {c |}
Parlgov.org {c |}
       plus {c |}
 additional {c |}
         da {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      2,768       98.47       98.47
{txt}          1 {c |}{res}         43        1.53      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,811      100.00
{txt}
{com}. est store mod4
{txt}
{com}. firthfit
{txt}(1,122 missing values generated)
(1,122 missing values generated)
(1,122 missing values generated)
{res}
{txt}{space 0}{space 0}{ralign 24:}{space 1}{c |}{space 1}{ralign 11:firthlogit}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Log-likelihood}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Intercept only}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -201.606}}}{space 1}
{space 0}{space 0}{ralign 24:Full model}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -185.568}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Information criteria}}{c |}{space 13}
{space 0}{space 0}{ralign 24:AIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    389.136}}}{space 1}
{space 0}{space 0}{ralign 24:BIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    442.607}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:R^2}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Cox-Snell/ML}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.011}}}{space 1}
{space 0}{space 0}{ralign 24:Cragg-Uhler/Nagelkerke}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.085}}}{space 1}
{space 0}{space 0}{ralign 24:Efron}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.011}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.080}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden (adj)}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.035}}}{space 1}
{space 0}{space 0}{ralign 24:McKelvey & Zavoina}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.457}}}{space 1}
{space 0}{space 0}{ralign 24:Tjur's D}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.012}}}{space 1}
{space 0}{hline 25}{c  BT}{hline 13}

{com}. 
. margins, dydx(pss) at(vote_share=(0(1)60)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     2,811
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}8}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 10}9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}12}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:14._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:15._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}14}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:16._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}15}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:17._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:18._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}17}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:19._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}18}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:20._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}19}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:21._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}20}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:22._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:23._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}22}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:24._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}23}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:25._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}24}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:26._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:27._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}26}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:28._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}27}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:29._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}28}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:30._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}29}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:31._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}30}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:32._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}31}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:33._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}32}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:34._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}33}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:35._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}34}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:36._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}35}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:37._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}36}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:38._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}37}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:39._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}38}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:40._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}39}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:41._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}40}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:42._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}41}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:43._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}42}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:44._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}43}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:45._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}44}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:46._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}45}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:47._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}46}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:48._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}47}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:49._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}48}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:50._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}49}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:51._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}50}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:52._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}51}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:53._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}52}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:54._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}53}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:55._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}54}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:56._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}55}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:57._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}56}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:58._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}57}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:59._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}58}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:60._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}59}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:61._at}:{space 1}{res:{txt:vote_share}{space 6}{txt:=} {space 9}60}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}pss          {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} -.122694{col 26}{space 2} .1460539{col 37}{space 1}   -0.84{col 46}{space 3}0.401{col 54}{space 4}-.4089543{col 67}{space 3} .1635664
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.1004608{col 26}{space 2} .1312585{col 37}{space 1}   -0.77{col 46}{space 3}0.444{col 54}{space 4}-.3577228{col 67}{space 3} .1568012
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0782277{col 26}{space 2} .1190535{col 37}{space 1}   -0.66{col 46}{space 3}0.511{col 54}{space 4}-.3115682{col 67}{space 3} .1551128
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0559945{col 26}{space 2} .1103019{col 37}{space 1}   -0.51{col 46}{space 3}0.612{col 54}{space 4}-.2721823{col 67}{space 3} .1601934
{txt}{space 10}5  {c |}{col 14}{res}{space 2}-.0337613{col 26}{space 2}  .105864{col 37}{space 1}   -0.32{col 46}{space 3}0.750{col 54}{space 4}-.2412509{col 67}{space 3} .1737282
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.0115282{col 26}{space 2} .1062813{col 37}{space 1}   -0.11{col 46}{space 3}0.914{col 54}{space 4}-.2198356{col 67}{space 3} .1967793
{txt}{space 10}7  {c |}{col 14}{res}{space 2}  .010705{col 26}{space 2} .1114993{col 37}{space 1}    0.10{col 46}{space 3}0.924{col 54}{space 4}-.2078296{col 67}{space 3} .2292396
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .0329382{col 26}{space 2} .1208981{col 37}{space 1}    0.27{col 46}{space 3}0.785{col 54}{space 4}-.2040178{col 67}{space 3} .2698941
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .0551713{col 26}{space 2} .1335982{col 37}{space 1}    0.41{col 46}{space 3}0.680{col 54}{space 4}-.2066763{col 67}{space 3}  .317019
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .0774045{col 26}{space 2} .1487564{col 37}{space 1}    0.52{col 46}{space 3}0.603{col 54}{space 4}-.2141527{col 67}{space 3} .3689617
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0996376{col 26}{space 2} .1656995{col 37}{space 1}    0.60{col 46}{space 3}0.548{col 54}{space 4}-.2251274{col 67}{space 3} .4244027
{txt}{space 9}12  {c |}{col 14}{res}{space 2} .1218708{col 26}{space 2} .1839349{col 37}{space 1}    0.66{col 46}{space 3}0.508{col 54}{space 4} -.238635{col 67}{space 3} .4823766
{txt}{space 9}13  {c |}{col 14}{res}{space 2}  .144104{col 26}{space 2} .2031148{col 37}{space 1}    0.71{col 46}{space 3}0.478{col 54}{space 4}-.2539938{col 67}{space 3} .5422017
{txt}{space 9}14  {c |}{col 14}{res}{space 2} .1663371{col 26}{space 2} .2229957{col 37}{space 1}    0.75{col 46}{space 3}0.456{col 54}{space 4}-.2707265{col 67}{space 3} .6034007
{txt}{space 9}15  {c |}{col 14}{res}{space 2} .1885703{col 26}{space 2} .2434059{col 37}{space 1}    0.77{col 46}{space 3}0.439{col 54}{space 4}-.2884965{col 67}{space 3}  .665637
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .2108034{col 26}{space 2} .2642226{col 37}{space 1}    0.80{col 46}{space 3}0.425{col 54}{space 4}-.3070634{col 67}{space 3} .7286703
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .2330366{col 26}{space 2} .2853571{col 37}{space 1}    0.82{col 46}{space 3}0.414{col 54}{space 4} -.326253{col 67}{space 3} .7923262
{txt}{space 9}18  {c |}{col 14}{res}{space 2} .2552698{col 26}{space 2} .3067435{col 37}{space 1}    0.83{col 46}{space 3}0.405{col 54}{space 4}-.3459365{col 67}{space 3}  .856476
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .2775029{col 26}{space 2} .3283327{col 37}{space 1}    0.85{col 46}{space 3}0.398{col 54}{space 4}-.3660174{col 67}{space 3} .9210232
{txt}{space 9}20  {c |}{col 14}{res}{space 2} .2997361{col 26}{space 2} .3500872{col 37}{space 1}    0.86{col 46}{space 3}0.392{col 54}{space 4}-.3864222{col 67}{space 3} .9858943
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .3219692{col 26}{space 2} .3719779{col 37}{space 1}    0.87{col 46}{space 3}0.387{col 54}{space 4} -.407094{col 67}{space 3} 1.051033
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .3442024{col 26}{space 2} .3939822{col 37}{space 1}    0.87{col 46}{space 3}0.382{col 54}{space 4}-.4279884{col 67}{space 3} 1.116393
{txt}{space 9}23  {c |}{col 14}{res}{space 2} .3664356{col 26}{space 2}  .416082{col 37}{space 1}    0.88{col 46}{space 3}0.378{col 54}{space 4}-.4490701{col 67}{space 3} 1.181941
{txt}{space 9}24  {c |}{col 14}{res}{space 2} .3886687{col 26}{space 2} .4382628{col 37}{space 1}    0.89{col 46}{space 3}0.375{col 54}{space 4}-.4703107{col 67}{space 3} 1.247648
{txt}{space 9}25  {c |}{col 14}{res}{space 2} .4109019{col 26}{space 2} .4605131{col 37}{space 1}    0.89{col 46}{space 3}0.372{col 54}{space 4}-.4916872{col 67}{space 3} 1.313491
{txt}{space 9}26  {c |}{col 14}{res}{space 2}  .433135{col 26}{space 2} .4828231{col 37}{space 1}    0.90{col 46}{space 3}0.370{col 54}{space 4}-.5131809{col 67}{space 3} 1.379451
{txt}{space 9}27  {c |}{col 14}{res}{space 2} .4553682{col 26}{space 2}  .505185{col 37}{space 1}    0.90{col 46}{space 3}0.367{col 54}{space 4}-.5347762{col 67}{space 3} 1.445513
{txt}{space 9}28  {c |}{col 14}{res}{space 2} .4776014{col 26}{space 2} .5275921{col 37}{space 1}    0.91{col 46}{space 3}0.365{col 54}{space 4}-.5564602{col 67}{space 3} 1.511663
{txt}{space 9}29  {c |}{col 14}{res}{space 2} .4998345{col 26}{space 2}  .550039{col 37}{space 1}    0.91{col 46}{space 3}0.363{col 54}{space 4}-.5782221{col 67}{space 3} 1.577891
{txt}{space 9}30  {c |}{col 14}{res}{space 2} .5220677{col 26}{space 2} .5725209{col 37}{space 1}    0.91{col 46}{space 3}0.362{col 54}{space 4}-.6000527{col 67}{space 3} 1.644188
{txt}{space 9}31  {c |}{col 14}{res}{space 2} .5443008{col 26}{space 2}  .595034{col 37}{space 1}    0.91{col 46}{space 3}0.360{col 54}{space 4}-.6219443{col 67}{space 3} 1.710546
{txt}{space 9}32  {c |}{col 14}{res}{space 2}  .566534{col 26}{space 2} .6175747{col 37}{space 1}    0.92{col 46}{space 3}0.359{col 54}{space 4}-.6438901{col 67}{space 3} 1.776958
{txt}{space 9}33  {c |}{col 14}{res}{space 2} .5887672{col 26}{space 2} .6401401{col 37}{space 1}    0.92{col 46}{space 3}0.358{col 54}{space 4}-.6658844{col 67}{space 3} 1.843419
{txt}{space 9}34  {c |}{col 14}{res}{space 2} .6110003{col 26}{space 2} .6627278{col 37}{space 1}    0.92{col 46}{space 3}0.357{col 54}{space 4}-.6879223{col 67}{space 3} 1.909923
{txt}{space 9}35  {c |}{col 14}{res}{space 2} .6332335{col 26}{space 2} .6853355{col 37}{space 1}    0.92{col 46}{space 3}0.355{col 54}{space 4}-.7099995{col 67}{space 3} 1.976466
{txt}{space 9}36  {c |}{col 14}{res}{space 2} .6554666{col 26}{space 2} .7079614{col 37}{space 1}    0.93{col 46}{space 3}0.355{col 54}{space 4}-.7321122{col 67}{space 3} 2.043045
{txt}{space 9}37  {c |}{col 14}{res}{space 2} .6776998{col 26}{space 2} .7306037{col 37}{space 1}    0.93{col 46}{space 3}0.354{col 54}{space 4}-.7542571{col 67}{space 3} 2.109657
{txt}{space 9}38  {c |}{col 14}{res}{space 2}  .699933{col 26}{space 2} .7532609{col 37}{space 1}    0.93{col 46}{space 3}0.353{col 54}{space 4}-.7764312{col 67}{space 3} 2.176297
{txt}{space 9}39  {c |}{col 14}{res}{space 2} .7221661{col 26}{space 2} .7759317{col 37}{space 1}    0.93{col 46}{space 3}0.352{col 54}{space 4}-.7986322{col 67}{space 3} 2.242964
{txt}{space 9}40  {c |}{col 14}{res}{space 2} .7443993{col 26}{space 2} .7986151{col 37}{space 1}    0.93{col 46}{space 3}0.351{col 54}{space 4}-.8208575{col 67}{space 3} 2.309656
{txt}{space 9}41  {c |}{col 14}{res}{space 2} .7666324{col 26}{space 2} .8213099{col 37}{space 1}    0.93{col 46}{space 3}0.351{col 54}{space 4}-.8431053{col 67}{space 3}  2.37637
{txt}{space 9}42  {c |}{col 14}{res}{space 2} .7888656{col 26}{space 2} .8440152{col 37}{space 1}    0.93{col 46}{space 3}0.350{col 54}{space 4}-.8653737{col 67}{space 3} 2.443105
{txt}{space 9}43  {c |}{col 14}{res}{space 2} .8110988{col 26}{space 2} .8667302{col 37}{space 1}    0.94{col 46}{space 3}0.349{col 54}{space 4}-.8876612{col 67}{space 3} 2.509859
{txt}{space 9}44  {c |}{col 14}{res}{space 2} .8333319{col 26}{space 2} .8894541{col 37}{space 1}    0.94{col 46}{space 3}0.349{col 54}{space 4}-.9099661{col 67}{space 3}  2.57663
{txt}{space 9}45  {c |}{col 14}{res}{space 2} .8555651{col 26}{space 2} .9121864{col 37}{space 1}    0.94{col 46}{space 3}0.348{col 54}{space 4}-.9322873{col 67}{space 3} 2.643418
{txt}{space 9}46  {c |}{col 14}{res}{space 2} .8777982{col 26}{space 2} .9349263{col 37}{space 1}    0.94{col 46}{space 3}0.348{col 54}{space 4}-.9546236{col 67}{space 3}  2.71022
{txt}{space 9}47  {c |}{col 14}{res}{space 2} .9000314{col 26}{space 2} .9576733{col 37}{space 1}    0.94{col 46}{space 3}0.347{col 54}{space 4}-.9769738{col 67}{space 3} 2.777037
{txt}{space 9}48  {c |}{col 14}{res}{space 2} .9222646{col 26}{space 2}  .980427{col 37}{space 1}    0.94{col 46}{space 3}0.347{col 54}{space 4} -.999337{col 67}{space 3} 2.843866
{txt}{space 9}49  {c |}{col 14}{res}{space 2} .9444977{col 26}{space 2} 1.003187{col 37}{space 1}    0.94{col 46}{space 3}0.346{col 54}{space 4}-1.021712{col 67}{space 3} 2.910708
{txt}{space 9}50  {c |}{col 14}{res}{space 2} .9667309{col 26}{space 2} 1.025952{col 37}{space 1}    0.94{col 46}{space 3}0.346{col 54}{space 4}-1.044099{col 67}{space 3} 2.977561
{txt}{space 9}51  {c |}{col 14}{res}{space 2}  .988964{col 26}{space 2} 1.048724{col 37}{space 1}    0.94{col 46}{space 3}0.346{col 54}{space 4}-1.066496{col 67}{space 3} 3.044424
{txt}{space 9}52  {c |}{col 14}{res}{space 2} 1.011197{col 26}{space 2}   1.0715{col 37}{space 1}    0.94{col 46}{space 3}0.345{col 54}{space 4}-1.088903{col 67}{space 3} 3.111298
{txt}{space 9}53  {c |}{col 14}{res}{space 2}  1.03343{col 26}{space 2}  1.09428{col 37}{space 1}    0.94{col 46}{space 3}0.345{col 54}{space 4} -1.11132{col 67}{space 3} 3.178181
{txt}{space 9}54  {c |}{col 14}{res}{space 2} 1.055664{col 26}{space 2} 1.117066{col 37}{space 1}    0.95{col 46}{space 3}0.345{col 54}{space 4}-1.133745{col 67}{space 3} 3.245072
{txt}{space 9}55  {c |}{col 14}{res}{space 2} 1.077897{col 26}{space 2} 1.139855{col 37}{space 1}    0.95{col 46}{space 3}0.344{col 54}{space 4}-1.156178{col 67}{space 3} 3.311972
{txt}{space 9}56  {c |}{col 14}{res}{space 2}  1.10013{col 26}{space 2} 1.162649{col 37}{space 1}    0.95{col 46}{space 3}0.344{col 54}{space 4}-1.178619{col 67}{space 3} 3.378879
{txt}{space 9}57  {c |}{col 14}{res}{space 2} 1.122363{col 26}{space 2} 1.185446{col 37}{space 1}    0.95{col 46}{space 3}0.344{col 54}{space 4}-1.201068{col 67}{space 3} 3.445794
{txt}{space 9}58  {c |}{col 14}{res}{space 2} 1.144596{col 26}{space 2} 1.208246{col 37}{space 1}    0.95{col 46}{space 3}0.343{col 54}{space 4}-1.223523{col 67}{space 3} 3.512715
{txt}{space 9}59  {c |}{col 14}{res}{space 2} 1.166829{col 26}{space 2}  1.23105{col 37}{space 1}    0.95{col 46}{space 3}0.343{col 54}{space 4}-1.245985{col 67}{space 3} 3.579643
{txt}{space 9}60  {c |}{col 14}{res}{space 2} 1.189062{col 26}{space 2} 1.253857{col 37}{space 1}    0.95{col 46}{space 3}0.343{col 54}{space 4}-1.268452{col 67}{space 3} 3.646577
{txt}{space 9}61  {c |}{col 14}{res}{space 2} 1.211296{col 26}{space 2} 1.276667{col 37}{space 1}    0.95{col 46}{space 3}0.343{col 54}{space 4}-1.290926{col 67}{space 3} 3.713517
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. gen xyz=1 if e(sample)==1
{txt}(1,122 missing values generated)

{com}. matrix y_=r(table)'
{txt}
{com}. svmat y_
{txt}
{com}. range g 0 60 61
{txt}(3,872 missing values generated)

{com}. 
. twoway hist vote_share if xyz==1, percent bcolor(gs15) yaxis(2)  ///
> || line y_5 y_6 g,  lcolor(black) lpattern(dash dash)  ///
> || line y_1 g, lcolor(black) ///
> || line yline g, lcolor(black) ///
> ,  xtitle("Party size",  size(medsmall)) ///
> yscale(alt) yscale(alt axis(2)) ///
> ytitle("% of observations", size(medsmall) axis(2)) ///
> ytitle("Marg. effect of party system saturation", size(medsmall) axis(1)) ///
> legend(off)  graphregion(color(white)) name(b, replace)
{res}{txt}
{com}. 
. drop xyz- g
{txt}
{com}. 
. firthlogit merger c.pss##i.opposition party_age norepres2 office_exp alliance_exp 
{res}
{txt}initial:{col 16}penalized log likelihood = {res:-267.74813}
rescale:{col 16}penalized log likelihood = {res:-267.74813}
{res}{txt}Iteration 0:{space 3}penalized log likelihood = {res:-267.74813}  
Iteration 1:{space 3}penalized log likelihood = {res: -260.1302}  
Iteration 2:{space 3}penalized log likelihood = {res:-251.10939}  
Iteration 3:{space 3}penalized log likelihood = {res:-251.04756}  
Iteration 4:{space 3}penalized log likelihood = {res: -251.0475}  
Iteration 5:{space 3}penalized log likelihood = {res: -251.0475}  
{res}
{txt}{col 49}Number of obs{col 67}= {res}     3,008
{txt}{col 49}Wald chi2({res}7{txt}){col 67}= {res}     29.12
{txt}Penalized log likelihood = {res} -251.0475{txt}{col 49}Prob > chi2{col 67}= {res}    0.0001

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          merger{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}pss {c |}{col 18}{res}{space 2} .2338785{col 30}{space 2} .2316671{col 41}{space 1}    1.01{col 50}{space 3}0.313{col 58}{space 4}-.2201806{col 71}{space 3} .6879376
{txt}{space 16} {c |}
{space 6}opposition {c |}
{space 5}Opposition  {c |}{col 18}{res}{space 2} 1.464239{col 30}{space 2} .6563169{col 41}{space 1}    2.23{col 50}{space 3}0.026{col 58}{space 4} .1778817{col 71}{space 3} 2.750597
{txt}{space 16} {c |}
opposition#c.pss {c |}
{space 5}Opposition  {c |}{col 18}{res}{space 2}-.2657033{col 30}{space 2} .2506931{col 41}{space 1}   -1.06{col 50}{space 3}0.289{col 58}{space 4}-.7570528{col 71}{space 3} .2256462
{txt}{space 16} {c |}
{space 7}party_age {c |}{col 18}{res}{space 2}-.0155689{col 30}{space 2} .0058564{col 41}{space 1}   -2.66{col 50}{space 3}0.008{col 58}{space 4}-.0270472{col 71}{space 3}-.0040905
{txt}{space 7}norepres2 {c |}{col 18}{res}{space 2} .1606504{col 30}{space 2} .3332832{col 41}{space 1}    0.48{col 50}{space 3}0.630{col 58}{space 4}-.4925726{col 71}{space 3} .8138735
{txt}{space 6}office_exp {c |}{col 18}{res}{space 2} .4400187{col 30}{space 2} .6626365{col 41}{space 1}    0.66{col 50}{space 3}0.507{col 58}{space 4} -.858725{col 71}{space 3} 1.738762
{txt}{space 4}alliance_exp {c |}{col 18}{res}{space 2} 1.348794{col 30}{space 2} .3577766{col 41}{space 1}    3.77{col 50}{space 3}0.000{col 58}{space 4} .6475647{col 71}{space 3} 2.050023
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-4.996332{col 30}{space 2} .6943929{col 41}{space 1}   -7.20{col 50}{space 3}0.000{col 58}{space 4}-6.357317{col 71}{space 3}-3.635347
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. tab merger if e(sample)==1

      {txt}Party {c |}
     merges {c |}
      after {c |}
 election t {c |}
  (based on {c |}
  data from {c |}
Parlgov.org {c |}
       plus {c |}
 additional {c |}
         da {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      2,951       98.11       98.11
{txt}          1 {c |}{res}         57        1.89      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      3,008      100.00
{txt}
{com}. est store mod5
{txt}
{com}. firthfit
{txt}(925 missing values generated)
(925 missing values generated)
(925 missing values generated)
{res}
{txt}{space 0}{space 0}{ralign 24:}{space 1}{c |}{space 1}{ralign 11:firthlogit}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Log-likelihood}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Intercept only}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -267.748}}}{space 1}
{space 0}{space 0}{ralign 24:Full model}{space 1}{c |}{space 1}{ralign 11:{res:{sf:   -251.047}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:Information criteria}}{c |}{space 13}
{space 0}{space 0}{ralign 24:AIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    522.095}}}{space 1}
{space 0}{space 0}{ralign 24:BIC}{space 1}{c |}{space 1}{ralign 11:{res:{sf:    582.185}}}{space 1}
{space 0}{hline 25}{c   +}{hline 13}
{space 0}{res:{lalign 25:R^2}}{c |}{space 13}
{space 0}{space 0}{ralign 24:Cox-Snell/ML}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.011}}}{space 1}
{space 0}{space 0}{ralign 24:Cragg-Uhler/Nagelkerke}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.068}}}{space 1}
{space 0}{space 0}{ralign 24:Efron}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.015}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.062}}}{space 1}
{space 0}{space 0}{ralign 24:McFadden (adj)}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.025}}}{space 1}
{space 0}{space 0}{ralign 24:McKelvey & Zavoina}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.198}}}{space 1}
{space 0}{space 0}{ralign 24:Tjur's D}{space 1}{c |}{space 1}{ralign 11:{res:{sf:      0.015}}}{space 1}
{space 0}{hline 25}{c  BT}{hline 13}

{com}. 
. margins, dydx(pss) at(opposition=(0 1)) l(95)
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     3,008
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:pss}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:opposition}{space 6}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:opposition}{space 6}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}pss          {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .2338785{col 26}{space 2} .2316671{col 37}{space 1}    1.01{col 46}{space 3}0.313{col 54}{space 4}-.2201806{col 67}{space 3} .6879376
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.0318248{col 26}{space 2} .0991647{col 37}{space 1}   -0.32{col 46}{space 3}0.748{col 54}{space 4}-.2261841{col 67}{space 3} .1625345
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. mplotoffset,  ///
> ytitle("Marg. effect of party system saturation") ///
> xtitle("") ///
> title("") ///
> scheme(Tufte) ///
> ci1opts(color(gs1) lwidth(medthick) msize(medlarge)) ///
> plot1opts(lcolor(none) msymbol(D) mcolor(black) msize(large)) ///
> yline(0, lcolor(black)) ///
> allx ///
> graphregion(fcolor(white)) name(c, replace) 

{text}{p 2 6 2}Variables that uniquely identify margins: opposition{p_end}
(note: scheme Tufte not found, using s2color)
{res}{txt}
{com}. 
. graph combine a b c, altshrink graphregion(fcolor(white)) 
{res}{txt}
{com}. capture graph export "C:\Users\MvdWardt\Desktop\Replication adapt or perish\Figure5.wmf", replace
{txt}
{com}. capture esttab mod1 mod2 mod3 mod4 mod5 ,  stats(pr2 bic N)  starlevels(* 0.1 ** 0.05 *** 0.01) b(3) se(3) , using "C:\Users\MvdWardt\Desktop\Replication adapt or perish\Table3.csv", replace
{txt}
{com}. 
. restore
{txt}
{com}. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\MvdWardt\Desktop\Replication adapt or perish\manuscript other tables and figures.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 1 Mar 2019, 13:22:47
{txt}{.-}
{smcl}
{txt}{sf}{ul off}